{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Exploratory data analysis (EDA)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing libraries\n",
    "import datetime as dt\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import missingno as msno\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import sweetviz as sv\n",
    "from pandas.plotting import scatter_matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's import the data and explore it."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# allow showing more rows and columns when using the method df.head()\n",
    "pd.set_option(\"max_rows\", 300, \"max_columns\", 300)\n",
    "\n",
    "# reading the dataset\n",
    "data_path = \"../data\"\n",
    "churn = pd.read_csv(f\"{data_path}/data.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get to know the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>player_id</th>\n",
       "      <th>date</th>\n",
       "      <th>gender</th>\n",
       "      <th>vertical</th>\n",
       "      <th>deposit_approved_sum</th>\n",
       "      <th>withdrawal_approved_sum</th>\n",
       "      <th>turnover_cash_sum</th>\n",
       "      <th>winning_cash_sum</th>\n",
       "      <th>result_cash_sum</th>\n",
       "      <th>NGR_sum</th>\n",
       "      <th>bonus_cash_sum</th>\n",
       "      <th>session_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0004fd6b7433920d183e818e18efb97c1b02afb3</td>\n",
       "      <td>2013-01-21</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0004fd6b7433920d183e818e18efb97c1b02afb3</td>\n",
       "      <td>2013-01-22</td>\n",
       "      <td>female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0004fd6b7433920d183e818e18efb97c1b02afb3</td>\n",
       "      <td>2013-01-29</td>\n",
       "      <td>female</td>\n",
       "      <td>casino_classic</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>73</td>\n",
       "      <td>43</td>\n",
       "      <td>-30</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>2313</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  player_id        date  gender  \\\n",
       "0  0004fd6b7433920d183e818e18efb97c1b02afb3  2013-01-21  female   \n",
       "1  0004fd6b7433920d183e818e18efb97c1b02afb3  2013-01-22  female   \n",
       "2  0004fd6b7433920d183e818e18efb97c1b02afb3  2013-01-29  female   \n",
       "\n",
       "         vertical  deposit_approved_sum  withdrawal_approved_sum  \\\n",
       "0             NaN                    31                        0   \n",
       "1             NaN                     0                        0   \n",
       "2  casino_classic                     0                        0   \n",
       "\n",
       "   turnover_cash_sum  winning_cash_sum  result_cash_sum  NGR_sum  \\\n",
       "0                  0                 0                0        0   \n",
       "1                  0                 0                0        0   \n",
       "2                 73                43              -30       30   \n",
       "\n",
       "   bonus_cash_sum  session_sum  \n",
       "0               0         2233  \n",
       "1               0         1957  \n",
       "2               0         2313  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualizing the first lines of the dataset\n",
    "churn.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['player_id',\n",
       " 'date',\n",
       " 'gender',\n",
       " 'vertical',\n",
       " 'deposit_approved_sum',\n",
       " 'withdrawal_approved_sum',\n",
       " 'turnover_cash_sum',\n",
       " 'winning_cash_sum',\n",
       " 'result_cash_sum',\n",
       " 'NGR_sum',\n",
       " 'bonus_cash_sum',\n",
       " 'session_sum']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# listing columns names\n",
    "list(churn.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the sake of clarity, the explanatory variables and their meanings (not given in this task) are listed in **Table 1**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "|Table 1. Explanatory variables|                                 |\n",
    "|--------------------------|-------------------------------------|\n",
    "|**Name**                  | **Meaning**                         |\n",
    "|player_id                 | unique user identification          | \n",
    "|date                      | event date                          |\n",
    "|gender                    | gender                              |\n",
    "|vertical                  | type of gambling                    |\n",
    "|deposit_approved_sum      | volume of approved deposits         |\n",
    "|withdrawal_approved_sum   | volume of approved withdrawals      |\n",
    "|turnover_cash_sum         | volume of cash wagers               |\n",
    "|winning_cash_sum          | volume of cash winnings to wagers   |\n",
    "|result_cash_sum           | volume of cash wagers minus winnings| \n",
    "|NGR_sum                   | net gaming revenue                  |\n",
    "|bonus_cash_sum            | volume of bonus wagers              |\n",
    "|session_sum               | duration of the session             |"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dimensions of the dataset:\n",
      " Number of rows: 117398\n",
      " Number of columns: 12\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# showing dimensions of the dataset\n",
    "print(\"Dimensions of the dataset:\")\n",
    "print(f\" Number of rows: {churn.shape[0]}\")\n",
    "print(f\" Number of columns: {churn.shape[1]}\")\n",
    "print()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               player_id: 10644\n",
      "                    date: 365\n",
      "                  gender: 2\n",
      "                vertical: 4\n",
      "    deposit_approved_sum: 3911\n",
      " withdrawal_approved_sum: 3852\n",
      "       turnover_cash_sum: 11469\n",
      "        winning_cash_sum: 11371\n",
      "         result_cash_sum: 6389\n",
      "                 NGR_sum: 6391\n",
      "          bonus_cash_sum: 51\n",
      "             session_sum: 25872\n"
     ]
    }
   ],
   "source": [
    "# show unique values\n",
    "for col in churn.columns:\n",
    "    print(f\"{col: >24}: {churn[col].nunique()}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The total number of different customers in the dataset is equal to ${10644}$. This indicates that for the same user the dataset presents several events that happened at different times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "casino_classic    0.71\n",
       "sports            0.16\n",
       "casino_live       0.10\n",
       "mixture           0.03\n",
       "Name: vertical, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# percentage of gambling modalities\n",
    "churn[\"vertical\"].value_counts(normalize=True).round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 4 modalities of gambling games described by the feature `vertical`:\n",
    "* cassino_classic\n",
    "* sports\n",
    "* cassino_live\n",
    "* mixture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "male      0.71\n",
       "female    0.29\n",
       "Name: gender, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gender distribution\n",
    "churn[\"gender\"].value_counts(normalize=True).round(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The gender distribution in the dataset is:\n",
    "* 71% male\n",
    "* 29% female\n",
    "\n",
    "We can also explore if there are any differences or similarities considering gender."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# gender and gambling modality trends\n",
    "churn.groupby([\"gender\", \"vertical\"]).size().unstack().plot(\n",
    "    kind=\"bar\", stacked=False, rot=0, fontsize=10, figsize=(8, 4), align=\"center\"\n",
    ")\n",
    "plt.xlabel(\"gender\", fontsize=16)\n",
    "plt.title(\"Comparing gender and gambling modalities\", fontsize=14)\n",
    "plt.legend(loc='upper right')\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>deposit_approved_sum</th>\n",
       "      <th>withdrawal_approved_sum</th>\n",
       "      <th>turnover_cash_sum</th>\n",
       "      <th>winning_cash_sum</th>\n",
       "      <th>result_cash_sum</th>\n",
       "      <th>NGR_sum</th>\n",
       "      <th>bonus_cash_sum</th>\n",
       "      <th>session_sum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>117398.000000</td>\n",
       "      <td>117398.000000</td>\n",
       "      <td>117398.000000</td>\n",
       "      <td>117398.000000</td>\n",
       "      <td>117398.000000</td>\n",
       "      <td>117398.000000</td>\n",
       "      <td>117398.000000</td>\n",
       "      <td>117398.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>298.489003</td>\n",
       "      <td>215.655531</td>\n",
       "      <td>1958.918099</td>\n",
       "      <td>1872.552641</td>\n",
       "      <td>-86.365458</td>\n",
       "      <td>76.244706</td>\n",
       "      <td>5.011585</td>\n",
       "      <td>7528.739059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>992.192515</td>\n",
       "      <td>1205.752819</td>\n",
       "      <td>10663.544409</td>\n",
       "      <td>10543.596034</td>\n",
       "      <td>1356.990338</td>\n",
       "      <td>1361.101563</td>\n",
       "      <td>11.919579</td>\n",
       "      <td>8789.722139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-79237.000000</td>\n",
       "      <td>-85220.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-147.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2152.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>60.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>248.000000</td>\n",
       "      <td>164.000000</td>\n",
       "      <td>-30.000000</td>\n",
       "      <td>30.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4117.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>235.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1095.000000</td>\n",
       "      <td>982.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>145.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9367.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>79237.000000</td>\n",
       "      <td>93057.000000</td>\n",
       "      <td>905473.000000</td>\n",
       "      <td>899122.000000</td>\n",
       "      <td>85220.000000</td>\n",
       "      <td>79237.000000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>86400.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       deposit_approved_sum  withdrawal_approved_sum  turnover_cash_sum  \\\n",
       "count         117398.000000            117398.000000      117398.000000   \n",
       "mean             298.489003               215.655531        1958.918099   \n",
       "std              992.192515              1205.752819       10663.544409   \n",
       "min                0.000000                 0.000000           0.000000   \n",
       "25%                0.000000                 0.000000          30.000000   \n",
       "50%               60.000000                 0.000000         248.000000   \n",
       "75%              235.000000                 0.000000        1095.000000   \n",
       "max            79237.000000             93057.000000      905473.000000   \n",
       "\n",
       "       winning_cash_sum  result_cash_sum        NGR_sum  bonus_cash_sum  \\\n",
       "count     117398.000000    117398.000000  117398.000000   117398.000000   \n",
       "mean        1872.552641       -86.365458      76.244706        5.011585   \n",
       "std        10543.596034      1356.990338    1361.101563       11.919579   \n",
       "min            0.000000    -79237.000000  -85220.000000        0.000000   \n",
       "25%            0.000000      -147.000000       0.000000        0.000000   \n",
       "50%          164.000000       -30.000000      30.000000        0.000000   \n",
       "75%          982.750000         0.000000     145.000000        0.000000   \n",
       "max       899122.000000     85220.000000   79237.000000       50.000000   \n",
       "\n",
       "         session_sum  \n",
       "count  117398.000000  \n",
       "mean     7528.739059  \n",
       "std      8789.722139  \n",
       "min         0.000000  \n",
       "25%      2152.000000  \n",
       "50%      4117.000000  \n",
       "75%      9367.000000  \n",
       "max     86400.000000  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# showing some decriptive statistics\n",
    "churn.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 117398 entries, 0 to 117397\n",
      "Data columns (total 12 columns):\n",
      " #   Column                   Non-Null Count   Dtype \n",
      "---  ------                   --------------   ----- \n",
      " 0   player_id                117398 non-null  object\n",
      " 1   date                     117398 non-null  object\n",
      " 2   gender                   116927 non-null  object\n",
      " 3   vertical                 113307 non-null  object\n",
      " 4   deposit_approved_sum     117398 non-null  int64 \n",
      " 5   withdrawal_approved_sum  117398 non-null  int64 \n",
      " 6   turnover_cash_sum        117398 non-null  int64 \n",
      " 7   winning_cash_sum         117398 non-null  int64 \n",
      " 8   result_cash_sum          117398 non-null  int64 \n",
      " 9   NGR_sum                  117398 non-null  int64 \n",
      " 10  bonus_cash_sum           117398 non-null  int64 \n",
      " 11  session_sum              117398 non-null  int64 \n",
      "dtypes: int64(8), object(4)\n",
      "memory usage: 10.7+ MB\n"
     ]
    }
   ],
   "source": [
    "# summarizing some info about the dataset\n",
    "churn.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset is formed by 8 numerical and 4 categorical features. Since we have the column `date`, later we'll have to it to datetime format."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Missing values\n",
    "\n",
    "From the previous output, we can set that the explainable variables `gender`, `vertical` have missing values. Let's take a closer look at this.\n",
    "\n",
    "We have here at least two approaches, coding(using `isnull()`) or We can just visualize the missing values, in a more intuitive way, using the library `missingno`. The white lines in the `missingno` plot represent the missing values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Features with missing values:\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "gender       471\n",
       "vertical    4091\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# total number of missing values, if they are present\n",
    "print(\"Features with missing values:\\n\")\n",
    "churn.isnull().sum()[churn.isnull().sum() > 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The missing values correspond to:\n",
    "* `gender` less than 1% of the dataset\n",
    "* `vertical` around 3% of the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x144 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize missing value matrix for the complete dataset\n",
    "msno.matrix(churn, labels=True, fontsize=12, figsize=(10, 2))\n",
    "plt.title(\"Visualizing missing values\", fontsize=24)\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualizing the dataset with a scatter matrix"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can plot a scatter matrix to visualize the bivariate relationships between numeric variables in the dataset. The diagonal shows the distribution of the variables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x864 with 64 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize the dataset\n",
    "plt.style.use(\"seaborn-deep\")\n",
    "sm = scatter_matrix(\n",
    "    churn, alpha=0.3, diagonal=\"hist\", range_padding=0.2, marker=\"+\", figsize=(12, 12)\n",
    ")\n",
    "\n",
    "# change label rotation\n",
    "[s.xaxis.label.set_rotation(30) for s in sm.reshape(-1)]\n",
    "[s.yaxis.label.set_rotation(0) for s in sm.reshape(-1)]\n",
    "\n",
    "# offset label when rotating to prevent overlap of figure\n",
    "[s.get_yaxis().set_label_coords(-1.2, 0.5) for s in sm.reshape(-1)]\n",
    "[s.get_xaxis().set_label_coords(0.1, -0.6) for s in sm.reshape(-1)]\n",
    "\n",
    "plt.tight_layout(h_pad=0.08, w_pad=0.08)\n",
    "plt.suptitle(\"Relationships between numeric variables\", y=1.05, size=24)\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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zNf1vTBGRFcdSFy0vq+Lfj26Qn/d5az3WYDGng9YRiYiISPokKtIdwQphpUjY3P3Yhtp3vPj+xhrNk939H3XE8jHwcR19aa+umdlxwFk1mr9w99PTEY+IiIisJFOiskLSN6aISOZosOnFeb8e0iA/71uv96ymREVERESWC02JpmSFvEpUREREZGWiCpuIiIikj26cmxJV2EREREQynCpsIiIikjamNWwpUcImIiIi6aOELSVK2ERERGSlFgTB3UAf4K0wDK9Lav84froa8F4YhmcHQTABmB63HxCG4ezGiFEJm4iIiKRNuqdEgyDoD5SHYbhdEAQvBEGwRhiG0wHCMBwYj7ke+Cje5LcwDHdu7DiVsImIiEiTEwRBO6BdLV0FYRgWJL3eAvgwfv4J0A94s8Y2A4Er4udrBEHwKfA1cFEYho1yo3ddJSoiIiLpk6homAecDUyu5XF2jQjaAYXx8yJqJHlBEHQDfgnDcGHcNCAMwwFALrDn8j4ddVGFTURERNKmAadE7wCG1tJeUMvrNvHzfGBSjf79gFcqX4RhOCd++hqwKfDG34oyRUrYREREpMmJpz0LUhj6LXAYUQI2AHiuRv+ewAEAQRA0A7LCMCwFtgImLKdwl0pToiIiIpI+DTclmpIwDIcBLYIg+AwYA3QMguAogCAIOgBlYRjOjYe3Bb6M17AFwEvL9Vwsgbk3ylo5kfrSN6aISOawhtpxydgBDfLzPrf3pw0WczpoSlRERETSJt239VhRaEpUREREJMOpwiYiIiLpowpbSpSwiYiISNpYIpHuEFYImhIVERERyXCqsEnGKjx/vXSHkLI2t/ya7hBERFZMmhJNiSpsIiIiIhlOFTYRERFJH1XYUqKETURERNLGXBcdpEJToiIiIiIZThU2ERERSR9NiaZEFTYRERGRDKcKm4iIiKSPbpybEiVsIiIikj5K2FKiKVERERGRDKcKm4iIiKSN6aKDlKjCJiIiIpLhVGETERGR9NEatpSowiYiIiKS4VRhExERkfRRhS0lSthEREQkfZSwpURToiIiIiIZThU2ERERSR/d1iMlqrCJiIiIZDhV2ERERCRtTGvYUqKETURERNJHCVtKNCUqIiIikuFUYZMmp8Ve/yJ7/X4k5kyj5NnzIVEOQFbHHuT+37VQUY6XFrPgidNh4QKs7ZrkHnAt1qI1FT9/S+m7t6X5HYiIrERUYUuJEjZpUrI69sDarMH8+w6k+U5nkNN7T8pHvwpAYvqPzL/nAABa7HoOzTbenbKRL5G7978pefESvHB6OkMXERGpU0ZNiZrZm2bWLn6cltQ+0MxeT2H7lMYtL2Y2xcw6NNbxGpqZFac7hr8ru1M/Kn74DIDyiZ+Q07n/os640gZAs1wq/poEWTnYKuuQu89ltDrlabLX79fIEYuIrOQSiYZ5NDEZlbC5+57uXgC0A05b8ujUmVmTqSQ2pffSEKxlW7ykCAAvKcRatqvWnx1sT+tz3iSn65YkZv6CtW5P9tobUfLGdSx48kxy9x/c+EGLiKzMEt4wjyamURM2M7vAzM6Mn99uZh/Gz3c0syeTKlY3AF3NbLSZ3RxvnmdmL5jZxHisxdvuHreNBA5IOtZgM3vczL4AHjezTmb2mZmNjB9bx+PuNbN94+cvmdkj8fPjzeza+PnLZjbCzMab2aB6vN9atzOz4vj9jzezD8xstbj9YzO7M37f35nZ5kt4Lx+a2dh4+/XMrK2Z/WJmWfE2rc1sqpk1M7OuZvZ2HMtnZtY9HtPZzL4ys3Fmds1S3ktHM/s0KbbtKt9L0pgDzWxo/Hyomd1vZl+b2c9x9fMRM5tQOaYheEkhlpsfxZPbBl9QUK2/IvyEebfvSdnYt2i+5RH4grkkZk7BC37Hi/7CK8ogK7uhwhMREVkmjV1h+wzYLn7enygJaxa3fZo07mJgkrv3cfcL4rZNgbOBnkAXYBszywUeAvYB+gFr1jheT2Bndz8MmAHs4u59gUOAu2qJae14G2rEdLy794tjPtPMVk3x/da1XWtguLtvBHwCXJG0TSt370NUYXykjvdyN/Cou/cGngTucve5wGhg+3j83sA77l4GDAH+GcdyPnBfPOZO4H537wX8sZT3cni8vz7AJvGxlmYVYCvgHOBV4HZgI6CXmfWpOdjMBpnZcDMbPmTIkBR2v7iKKSPI3mBbAHKCAZRPHr6oM7t51VMvKYKyBVBeis+fA7ltoHlLLKeF7rotItKYNCWaksZO2EYA/cysDVAKfEWUzGxHlDgtybfuPs3dE0TJQiegOzDZ3X90dweeqLHNq+6+IH7eDHjIzMYBz7MoMfsM2M7MegLfA9PNrCNRovFlPOZMMxsDfA2sC2yQ4vuta7sE8Gz8/Alg26RtngZw90+BNmbWrpb3shXwVPz88aTtnyVKRgEOBZ41szxga+B5MxsNPAh0jMdsU3m8eD9LMgw4zswGA73cvWgp4wFei/9dxgHT3X1c/O83nujfrxp3H+Lu/d29/6BBKRcyq0n8/j1e/BetTnuB7DU3pHzcW+T+3/UA5HTfnlanPkerU58lZ8PtWPjtMwCUvnkTrY5/hNanPEPpO7pCVEREMk+jrody9zIzmwwcS5QMjQV2ALoBE5ayeWnS8wpSi31e0vNzgOlE1aEsoCSO6bc4KdqdqKLWHjgYKHb3IjMbCOwMbOXu883sYyB3aQeu53Zex/Pk1/NYuleB68ysPVHF8UOial5BXBlb2rHr5O6fmtkAYC9gqJnd5u6P1di+5vur/DdLUP3fL0EDfu+Vvn5dtdclL/4LgPLx71E+/r3Fxlf8MoL59x3YUOGIiMiSNMFqWENIx0UHnxFNy30aPz8FGBVXYioVAfkp7Gsi0MnMusavD1vC2LbAH3GF5yggeaHS10TTrZUxnc+iil9bYE6cdHUHtkwhrqVtlwVUZgiHA58n9R0CYGbbAnPjqc6aviSqoAEcURmruxcTVcLuBF539wp3LwQmm9lB8X7NzDaJt/2ixn7qZGbrE1XJHgIeBvrGXdPNrEe8du4fS9qHiIiILJt0JWwdga/cfTpRpavadKi7zwK+iBe331zLPirHlQCDgDfiiw5mLOG49wHHxFOU3alesfoMyHH3n4CRRFW2ypjeBnLMbALRxRBfp/g+l7TdPGBzM/sO2BG4KqmvxMxGAQ8AJ9Sx738STU+OJUo+z0rqexY4kkVTrhAlYyfE7308sF/cfhZwejxNvPZS3s9AYEwc2yFESSFE6w1fJ0oil7YOTkREpDpdJZoSq17YksZgZsXunldL+8fA+e4+fPGtVjpeeP566Y4hZW1u+TXdIYiINCRrqB1XPNW6QRKR7MPnNVjM6ZBR92ETERERkcXpJqx/U3yrjg9q6dopntpdTG3Vtbh94HIMbZmYWS8Wv2K01N23SEc8IiLSxDXB6cuGoITtb4qTsj7pjmN5cfdxNKH3IyIi0hQoYRMREZH0UYUtJUrYREREJH2UsKVEFx2IiIiIZDhV2ERERCRtXB90kBJV2EREREQynCpsIiIikj5aw5YSJWwiIiKSPpoSTYmmREVEREQynCpsIiIikj4ZUGELguBuopvGvxWG4XVJ7R+x6HNUTwvD8PsgCI4FTgJ+AY4Jw7CsMWJUhU1ERERWWkEQ9AfKwzDcDugbBMEaSd0VYRgOjB/fB0HQDDgS2Bb4BtivseJUhU1ERETSp4GuOQiCoB3QrpaugjAMC5JebwF8GD//BOgHvBm/tiAIPgZ+As4AugJjwjD0IAg+BI4CXljesddGFTYRERFJG09YgzyAs4HJtTzOrhFCO6Awfl5E9STvwDAMBwITgBOWMrZBqcImIiIiTdEdwNBa2gtqed0mfp4PTKrsCMNwTvz0VeAc4OMaY2vuq8EoYRMREZH0aaCLDuJpz4IUhn4LHAa8BgwAnqvsCIIgPwzDImArourcj0DvIAgM2CHetlFoSlRERERWWmEYDgNaBEHwGTAG6BgEwVFx9/tx+0HAkDAMFwJPA58DWxNV3hqFuesOw5KRvPD89dIdQ8ra3PJrukMQEWlItvQhy6bszpYNkog0O2tBg8WcDqqwiYiIiGQ4rWGTjKWqlYhI0xdf0SlLoYRNMlbxtCPSHULK8tZ5EoB5l3RMcySpa33dH+kOQUQElLClRFOiIiIiIhlOFTYRERFJH1eFLRWqsImIiIhkOFXYREREJG100UFqlLCJiIhI+iQ02ZcKnSURERGRDKcKm4iIiKSPpkRTogqbiIiISIZThU1ERETSxnVbj5QoYRMREZH00UUHKdFZEhEREclwqrCJiIhI2ug+bKlRhU1EREQkw6nCJiIiIumjCltKVGETERERyXCqsImIiEja6LYeqVHCJiIiIumj23qkRGdJREREJMOpwiYiIiJpo9t6pEYVNhEREZEMpwqbiIiIpI0uOkiNEjYRERFJH110kBIlbNKk3TVkGmPGF7PWms25/IJONMuJfjCUlCa4+KpJzJtfQXa2ce0lXVi1fbO0xdlst3+Tvf5m+JyplL54DiTKAchasyfN97sBEuV4SRGlz5wCZQvI2fZkcjbaEy+dz8IXz8KLZqQtdhERaXgrbVprZu3M7LR0x5EuZjbYzM5PdxwN6YdJ85kxcyH/ubM7ndbL5YNP51T1ffntXLp2bslDt3dnn9068MpbM9MWZ9aaPclq05GSIfuT+Osnsjfeu6ovMeMHSh7cl5KHDiDx+1iyN9oTy1uNnGBnSh7cj7L3b6TZDuekLXYRkb/LE9Ygj6ZmpU3YgHZAvRI2M8tumFDqPJ4qoH/DmPHFbNm/DQBbb9aWMd8VV/Wtu1YLFpQkACgsKqdd2/Sd6qz1+1Px0ycAVPzwEdnrb7aoM660AZCTi//1E9ZuHRIzwqj793Fkd9qiMcMVEZE0WJkTthuArmY22syGmdnrlR1mdo+ZHRs/n2JmN5rZSOCg+PWVZjbSzMaZWfd4XHsze9nMxprZ12bW28yy4vHtkvb9o5mtYWarmdmL8bGHmdk2cf9gM3vczL4AHq8tcDPLNrNbzOy7+Hj/jNsvj/f1nZkNMTOL2880s+/jsc8k7aqnmX1sZj+b2Zl1nSgza21mb5jZmHjfhySdmw7x8/5m9nHSe3jUzD4zs1/M7AAzuyk+X2+bWaPMPRYVVdC6VZRj57XOZm5RRVXfuuvkMvmXBRx0/He8+Npf7L5T+8YIqVaW2w4vKQLASwqxVu2q9WdvsAO5Z7xLdpetScyaQmL2L2StvQlkNye76wBo2W7xnYqIrCDcrUEeTc3KnLBdDExy9z7ABUsZO8vd+7p7ZbIz0937AvcDldOKVwKj3L03cAnwmLsngFeAfwCY2RbAL+4+HbgTuN3dNwP+D3g46Xg9gZ3d/bA64hkEdAL6xMd7Mm6/x903c/eNgZZA5dzaxcCm8dhTkvbTHdgN2By4YgmJ1O7A7+6+Sbzvt+sYl6wrsCOwL/AE8JG79wIWAHvVtoGZDTKz4WY2fMiQISkcYsny8rKZNz9K0ornVdA2f1GB9PV3Z9Jn4zyef2RjTjl2LR5+/I+/fbxl5SVzsdx8ACy3DT6/oFp/xY8fUXLPrlR89wbNNj8K5s+m/JvHyD3+GbKDHfGZP6UhahGR5SSR1TCPJqbpvaOG8WyN1/+Lv44gSpwAtiWuiLn7h8CqZtYm3vaQeMyhSfvaGbjHzEYDrwJtzCwv7nvV3RcsIZ6dgQfdvTw+3uy4fQcz+8bMxhElSxvF7WOBJ83sSCBpjo033L3U3WcCM4A16jjeOGCXuNK4nbvPXUJsld5y97J422wWJXnjWHTOqnH3Ie7e3937Dxo0KIVDLNkmG+Xx7ciocvXVsEI22Tivqs8d2rWN8tN2bXMonldR6z4aQ+LX4WR13Q6A7A0GUvHLsEWd2c2rnnppEV4WfVuUj3qekocOoHz8m1T8/FWjxisiIo1Pa6Qi5VRPXnNr9M+r8bo0/lrB0s/hV0A3M1sN2B+4Jm7PArZ095LkwfEsZs3jLZWZ5QL3Af3dfaqZDWbR+9gLGADsA/zbzHrVeB9LfC/u/oOZ9QX2BK4xsw/c/Sqqn7ea56w03jZhZmXu7nF7oq7jLG9Bt1a0XyWHE86ayJprNOeog9fg2tum8O9zO7H7ju351zU/88Gns6mogMvP79QYIdUq8cd4vPgvcge9jBf8Rtnn99N8/5tY+PKFZG+4A822PRnc8flzKH3+nwC0OPR+rHUHEgXTWPjqJWmLXUTk72qKFwg0hJU5YSsC8uPnvxCt52pBNJW4E/B5Pff3GXAEcLWZDSSaNi0EMLOXgNuACe4+Kx7/LvBP4OZ4TB93H53isd4DTjazj9y93MzaEyVCADPjSt2BwAtmlgWs6+4fmdnnRFW+vNp3WzszWwuY7e5PmFkBcGLcNQXoB7xFNK2bcc4+ed1qr/99bicA8vNyuOeGDdMQUe3K3r6asqTXC1++EICKCe9QMeGdxcaXPnNqI0UmIiKZYKVN2Nx9lpl9YWbfESUczwHfAZOBUcuwy8HAI2Y2FpgPHJPU9ywwDDg2qe1M4N54fA7wKdXXly3Jw8CGwFgzKwMecvd7zOyh+D38GR8PounIJ8ysLWDAXe5eEFfyUtULuNnMEkAZUJktXAn8x8yuBj6uzw5FRERAn3SQKls0UyWSUbx42hHpjiFleetE133Mu6RjmiNJXevr0nehhYiscBosqyo4q0uDJCLt7vy5SWWCK22FTURERDJAE7yisyEoYctgZrYbcGON5snu/o8GOt6qwAe1dO2UtPZORERkudFFB6lRwpbB3P0dYPEV5w13vFlAn8Y6noiIiKRGCZuIiIikjS46SI0mjkVEREQynCpsIiIikjZaw5YaJWwiIiKSNu6a7EuFzpKIiIhIhlOFTURERNJHU6IpUYVNREREJMOpwiYiIiJpo9t6pEYJm4iIiKSNrhJNjaZERURERDKcKmwiIiKSNrqtR2qUsImIiMhKLQiCu4k+S/utMAyvS2p/F2gJFAKHhGFYHATBBGB6POSAMAxnN0aMSmtFREQkbTxhDfJIVRAE/YHyMAy3A/oGQbBGUveguP1/wOFx229hGA6MH42SrIEqbCIiItIEBUHQDmhXS1dBGIYFSa+3AD6Mn38C9APeBAjDcErcXsGiItcaQRB8CnwNXBSGoS/PuOuiCpuIiIikjbs1yAM4G5hcy+PsGiG0I5ryBCiiRpIXBEEr4CTgubhpQBiGA4BcYM/lfDrqpAqbiIiIpE0D3oftDmBoLe0FtbxuEz/PBybV6H8AGByG4VyAMAznxO2vAZsCb/ztSFOghE1ERESanHjasyCFod8ChxElYANYVEkjCIJzge/DMHwvft0MyArDsBTYCpiwfKOum6ZERUREJG3SfdFBGIbDgBZBEHwGjAE6BkFwVBAEzYHrgd2DIPg4CIITgLbAl/EatgB4afmfkdqZe6OslROpL31jiohkjgabt/ztiL4N8vN+7SdHNqmPUNCUqGSskrED0h1CynJ7fwrAwlvy0hxJ6pqfX0wFT6Y7jHrJ5oh0hyAiy5lunJsaJWwiIiKSNvos0dQorRURERHJcKqwiYiISNo04G09mhRV2EREREQynCpsIiIikjaqsKVGCZuIiIikjS46SI2mREVEREQynCpsIiIikjaaEk2NKmwiIiIiGU4VNhEREUkbfdJBanSWRERERDKcKmwiIiKSNgmtYUuJEjYRERFJG93WIzWaEhURERHJcKqwiYiISNroth6pUYVNREREJMOpwiYiIiJpowpbapSwiYiISNooYUuNpkRFREREMpwqbCIiIpI2CX3SQUp0lkREREQynCps0uTc/kQRY8Iy1lotmytPa0OznGh9xAfflPDUm/MBmDa9gqP3ac0Re7UC4Pe/Ktj3zJk8feOqbLBe4/9vkT3gKmytLfG5v1DxzqmQKK/Wn7X5uWRtuD/lTwwAwDr0JHv76yC7OYnwfyTGPNyo8d568/uMGjWVtdduxzXX7UuzZtkAFBeXctH5LzFvXikbbbwWF1y0CwD9N72BjTbuCMC/L92dDYM1GjVeEclcunFualKusJlZBzNbr0bbyWZ2t5ntvfxDyyxm9qaZtVvGbfub2V3LOaS/zcymmFmHdMexPIVTypgxO8HQq9vTee1s3v+6pKpvpy1y+c+V7fnPle1ZZ81sdti8RVXf0Ffm0Sdolo6QsdU2hry1KH9mV3z2D2Rt+I/qA5rlYR02qtaUvd1gyl87ivLn9mz0ZG3ixD+ZPr2IJ546js5dOvDuOxOq+p57dgQ77hQw9PFjWLCgjLFjfwOgc+dVefTxY3j08WOUrIlINe7WII+mpj5Too8AF1e+MLPLgPuBw4FXzOyQ5RxbRnH3Pd29YBm3He7uZy7nkKQWY8Iytt6kOQDb9GnBqIlli42ZOaeCsjJYa7WoKjRtegUAHTtkN16gSWytLfEpHwDgU97D1t6yWn9Wv9NIjHpwUUPbTpDVjJy9/kPO/70M7TdsvGCB0SOnsc22XQDYbruujBo5tapv6q9z6N4jSsh6brQmw4f9ErVPncNRRwzlyiveoLS0fPGdiojIEtUnYesPfJD0+hTgOndfFbgXOHd5BtbYzOwCMzszfn67mX0YP9/RzJ6srEaZWSczm2BmD5nZeDN718xaxmM/NrMbzexbM/vBzLaL2wea2evx88Fm9kg89ufKY8Z9l5lZaGafm9nTZnb+EuLtZmbvm9kYMxtpZl3NLM/MPohfjzOz/eKxrc3sjXjsdzWS638mje++hONtb2aj48coM8tPfl/xmHvM7Nj4+RQzuz4eP9zM+prZO2Y2ycxOqf+/UGoK5zmtW0Z/WeW1MgqLfbExH3xbyk5bLqqu/feVeRyzb+uGCmnpctvhC4sA8NJCyF1lUV/zNliHjfA/vq1qslarY6ttTPkbJ1LxySXkDLy+UcOdW7iA1nnR+cvLz2Xu3AVVfV27rcbXX08B4KsvJ1NYGFU43373DB5/8lhWWy2Pp54c1qjxikhmU4UtNfVJ2NoD0wHMbGNgTeDRuO9lIFiukTW+z4Dt4uf9gTwzaxa3fVpj7AbAve6+EVAA/F9SX467bw6cDVxRx7G6A7sBmwNXmFkzM9ss3s8mwB5xDEvyZBzDJsDWwB9ACfAPd+8L7ADcamYG7A787u6buPvGwNtJ+5kZj78fqDNBjPtOd/c+ROdkwRLGVvo1Hv8ZMBQ4ENgSuLK2wWY2KE7uhg8ZMiSF3S8uv7Uxb0GUpBXPd9rkLf4/7XtflbDLlrkATP0zqvasvXp6qmsAlM7FmucDYC3aQMmcqq6sfqeTGPVAteFeOhefPgoWFuIzv4dWjTur3SY/l3nFpQAUF5XQtm3Lqr4DD9qUnyfN5PhjH6dVq+Z06JAHQLtVorWCu+7ek3Di9EaNV0SkKahPwjYLWCd+viNRAvBj/LpZPfeViUYA/cysDVAKfEWUNG1HlHAkm+zuo5O265TU97862pO94e6l7j4TmAGsAWwDvOLuJe5eBLxWV6Bmlg+s7e4vAcTbzAcMuM7MxgLvA2vH+x4H7BJX/7Zz97n1jBfgC+C2uCLYzt1Tmdd6Nf46DvjG3Yvc/S+gtLb1gO4+xN37u3v/QYMGpbD7xW2yYTO+HrsQgC/HLGTT7tXXpc0qqKCsfNF0aPhLOZOmlnPqNXP4auxCrhlSSOnCxatyDcl/+xpbfwcArNPO+G9fV/VZuy5kb3khOf/3ErZKV7K2uADm/AQtV4WsHMhbC0oLGzXePn3X5asvJwPw+eeT2LTvulV9ubnNuPb6fXlk6FEADBy4AfPnL6SiIgHAiOG/st56qyy+UxFZaSXcGuTR1NTncrj3gcHxIvXziKpqlboDvyzHuBqdu5eZ2WTgWOBLYCxRlaobMKHG8NKk5xVAy1r6Kqj7/NbcfnldlngEsBrQL34/U4Bcd//BzPoCewLXmNkH7n5VPeLF3W8wszfifXxhZrsB5VRP1HNrbFa57wTV33NiScf6O7p3bsaqbbM49rLZdOyQzTH7tOGqBwu5/OQ2AHzwTSk7bbFoOnTnLXLZeYso7MvumcvR+7amRfPG/R/d/xoH82eQc+i7eOFUKobdSfYud1Hx3plUvHVS1bicIz8l8c3NAFQMu5Ocg9+ErGwqPrywUePt0WNNVl21NUce/l86dmzLccdvzRWXv86VV+3NhAl/csN175Blxj779WaddVdhwoQ/ufSSV2nVqjlt2uRyw037N2q8IiJNQX1+aV4IPAFcDwyj+rTWEcDnyzGudPmMaOrveKKq0G3ACHf3aGaxQX0BPGhm1xP9u+wN1Dov6O5FZjbNzPZ395fNrAWQDbQFZsTJ2g7A+gBmthYw292fMLMC4MT6BmdmXd19HDAunr7tTlSV6xkfvyWwExnwfXDu0fnVXlcmawAH79aqzu2uPqNtg8W0NBWfXFr99XuLX6NSeUsPAP/xVcp/fHWxMY2l8nYdla68KrpQvEePNXn08WOq9fXosSYvvrRsFVMRafqa4nqzhpBywubu04Fd6ujemWj91IruM+DfwFfuPs/MSlh8OrRBuPswM3uVqLI3nShhnLuETY4iSvCuAsqAg4jWtb1mZuOA4cDEeGwv4GYzS8RjT12GEM+Ok8AEMB54y91Lzew54DtgMjBqGfYrIiIrMSVsqTH3+q3XMbMsoCewKjDc3ec1RGArIzPLc/diM2tFdKHDIHcfme640sRLxg5Y+qgMkds7ui5l4S15aY4kdc3PL6aCJ9MdRr1kc0S6QxBZWTVYVjVq590bZOHwpu+/3aQywXpdKGBmpwN/ElWBPiS+MtTMXk6+PYUssyFmNhoYCby4EidrIiKyktBFB6lJeUrUzE4C7iS6ge67wHNJ3Z8R3ZIi4+7mvyJx98NrtpnZvURXkCa7093/2xAxmNlxwFk1mr9w99Mb4ngiIiIrkyAIegInAO2IK5dhGB6/tO3qc9HBucCt7n6RmdW8adVE4IJ67EtS1NiJUpwINkgyKCIiUtNKuIbtSeBfwNSlDUxWn4StM/BOHX3ziDJFERERkZSthAnb5DAM3176sOrqk7DNpO4bqwbAb/U9uIiIiMhKpmUQBO8BowEHCMNwqTfUrE/C9jpwuZl9zKKb5Hp8I91zqH4jXREREZGlaooXCCzFDcuyUX2uEr2U6G713xF96oETXWQwgegu+VfVvamIiIiIEN0of12ij/lcN369VCknbPHnXvYn+qSDZsAkogrdPcBWNT6fUkRERGSp3K1BHhnsMaJPIvqSaKnZE6lslNKUqJk1B24EnnL3q4Grly1GERERkUUyPLlqCB3DMKy8jdc7QRB8lMpGKSVs7r7QzE4GXlrW6ERERESEwiAIBhF9LvsWQHEqG9VnDdsoos+kFBEREVkuVsJPOjgSyAcGAa0htc/cq89VoucBT5vZL8AbXt8PIRURERFZSQVB0CIMw1KiCzXvr+/29UnYngfaAq8AZWb2F/H9Q2Lu7uvXNwARERFZea1Ea9iuJ/rUqDdYlD9Z/HzHpW1cn4TtA6onaCIiIiKSgjAMz42fXhWGYdWFBkEQbJ3K9iknbO5+bP1CExEREVmyDF9v1hAuA5KvDD2H6BYfS1SfCpuIiIjIcuWsHAlbEAQnEV1oEARB8C2LpkPDVLZPOWEzs6OXNsbdH0t1fyIiIiIrizAMHwIeCoLglDAMH6jv9vWpsA2toz15XZsSNhEREUlZJlx0EATB3UAf4K0wDK9Lat8NuAKYAxwehuHcIAiOBU4i+lz1Y8IwLKvn4Z4IguAEYC2iKhthGC714z3rcx+2zrU8+gNXAj8S3fxNREREZIURBEF/oDwMw+2AvkEQrJHUfR6wEzAEOCkIgmZE91HbFvgG2G8ZDvki0X3YDiS6ae56qWxUn4sOfqml+RdgpJkZ0aWqh9cyRkRERKRWDXXRQRAE7YB2tXQVhGFYkPR6C+DD+PknQD/gzSAIWgNFYRguCILgQ6Ib3G4IjAnD0OO2o4AX6hla8zAM7wiCYP8wDG8LguC1VDaqT4VtST4D9lpO+xIREZGVRAN++PvZwORaHmfXCKEdUBg/L2JRkpfcXkx0L9q6xtZHeRAEucC0IAiuAjqmstHyukp0S1L8LCyRVOX2/jTdIdRb8/NXrP8NslP7RBQRkRXRHdS+/r6gltdt4uf5wKRa2vOAubWMrbmvVOwaV+hOBnYDUroAoT5XiV5eS3NzYGOi6to9qe5LJBXHdjgr3SGkbOjMOwEoOKtLmiNJXbs7f+a0NVaccwxw3/Q7ua3baekOI2Xn/nRfukMQyXgNNSUaT3sWpDD0W+Aw4DVgAPBcvP28IAjy42rYDvG4H4HeQRBYUltKgiDYM+l55dMSoosdfl/a9vWpsA2upa2UaB3btUQfuSAiIiKywgjDcFgQBMcGQfAZ8A7QMQiCXcMwfBy4jegmt5VXiS4MguBp4HNgKrDUW54l2ayOdgfeXNrG9bnoYHmtdxMREREBMuO2HmEYnl6jaXTc/jbwdo2xjwCPLMMxrqx8HgTBasC6YRiODIKgRSrbp5yEmdkAM8uroy/PzAakui8RERERgATWII9MFQTBucB/gIfjqdWXUtmuPlWzj4CedR2f6p+LJSIiIiKL2y8Mw32BuWEYOpCbykb1WcO2pHS1BVBRj32JiIiIZMSUaCOrCIKgLeBBEOQDiVQ2WmLCZmadgOTL3vrXMi3aEjge+DX1WEVERERWShcQ3Wx3o/jrhalstLQK2zFEn6Hl8eNuqlfaPH5dDtRcsCciIiKyRA11W49MFK9Z2zkMw13qu+3SErahwMdESdmHREnZ9zXGlAI/uPvs+h5cREREZGUR3zC3TxAE2WEY1msp2RITtvjzQ38BMLMdgBHuvmLdyl1EREQy1kq4hm0tYGIQBGOIZzDDMDx4aRvV5z5sn/yN4EREREQWk9KK+yYinhI9k2X4SKt6fZaome0KnEp0G4+al6G6u3etbwAiIiIiK4N4SvTaMAz3ru+29fks0T2JPmfrfaA70Z1/WwHbEE2bflbfg4uIiMjKbSWcEv0rCIIrgWHEBcYwDJf60VT1uXHuZcC9QOWHl17q7gOJLkvNBt6qT7QiIiIiK6EpRIlaP6LPF+2fykb1mRLtDlweH8Qrt3X3H8xsMFFC91w99iciIiIruZXpth4QfaZoEATrAV2BSWEYpnQf2/pU2BJAubs78BewXlLf7/GBRURERFLmWIM8MlUQBBcBQ4BdgYeCILg4le3qU2ELgU7x8+HA2Wb2BdFNc88jKvGJiIiISN32DsNwO6i6avQz4IalbVSfhO1JoEf8/Aqiiw+mxa8rgMPrsS8RERGRlW5KFCAIgg3DMPwB2DDVbepzH7Z7k56PMLNewB5EnyX6vrvX/AQEEREREanuX8AtQRCsCcyIXy9Vve7DlszdpwEPLev2IiIiIglPdwSN7sowDHeqfBEEwQfATksYD9T/xrkG7AMMAFYFBrv7L2a2PfCju/9ev5hFRERkZZbJFwg0kGY1XjdPZaP63Dh3FeBNYAugCMgD7ia6ae5JwGyij1sQERERkdqNDYLgTuATYHtgbCob1afCdjOwLtEnGwwDFib1vQ9cUI99iTSYgy7fh26bdWbW1Nn858ynqChf/JPq9jpzZ/rvuwlX7nxrVVvX/p247O1zOHn9Cyidt3CxbRpS7j4XkdO5L4nZ05j/1EWQKAcga63utDr4aqgox0uKmffombBwAQC2ylq0ufQDim7Zj8QfPzRqvAD7X7oPXeLz/PjZT5FIOs9r91yLw246mIqyCkqKS/jPyY+ycP5CdjplB/rs1ZvSeaU8duZTFM4obLR4t7tgfzr27ULhb7N49+LHq8XbZcdebHHa7iTKK5j+3VQ+vuZ52qyzKrvffAy4s3BeKW+e8wgLi0saLV6RlcXKdtFBGIZnBEGwD9GFnO+HYfhaKtvV5z5s+wH/dveviG6cm+xXomROJK3W3WgtVunYjuv3uYs/fpxO/337LDYmN68F6/TsuFj7LoMGMHl0SvcvXK6y1upOVrs1KL7rECqmT6JZnz2q+hJ//kTxHQdRfPdhVEz9jma9d63qy93pZMp/HtHo8UKUkLXr2I7b9ruL6T9Np+8+far1//HDn9yy9x3c/o+7+XXMVPrs0Zs2q+Wz8S49uXWfO3ntxjfZ89zdGi3eDt3XJm/Ndjx32G3MnjSdDXbvW63/rwnTeOaQW3n20NtotWoea2y8HqWF83ll0P08d/jtTPpgLL0O2bbR4hWRpi0Mw9fCMLwp1WQN6pew5QG/1dGXCyvfJPTyZGbHmtk98fP9zaxnIxxzipl1aOjjNKZum3fmu48mAjD2wwlssHnnxcbsMmh73n+4+kffbrBFF6aO/53SeaWNEmeynM79KJsYxVM+4VNyOvdb1BlX2gBolktixmQAstqvA+74nPQsG+2yWWcmfByd5/EfTqDLZtXPc3L1qlluM6ZPmkH7ddvzR/gnAFPHTqPrll0aLd61+nZhymcTAJjy6XjW7lf92EV/zMEropgryipwd0oLF1BaFFUzE2XluC9eqRWRv8+9YR5NTX0StpDorry12R4Y9/fDWfFYpD7nMRX7Aw2esDVFrdu2oqQomrZaUFhC61VaV+tvmZ/LOj07Mmn4lGrtuw4awAf/qZ7ENRZr1RZKigHwkiKsdbtq/TndB5B3wWvkdNuCxF9TAGix8ymUfpS+i7RbtWtFSTw9WFLLeQbouUN3/vX+BWywTTdmTP6Lv6bMZL1N1iWneTbdB2xI63atGi3e3LatqqYzFxaXkNt28XgB1ui1Pq1WzWfG+KlVbS3yW7LJ4QP4/sWvGyVWkZVNAmuQR1NTn0TjPqJPN/g3iz6Wqp2ZHQecQfTB8CsFM+tkZqGZPQZ8B1xmZsPMbKyZXRmPaW1mb5jZGDP7zswOidurqlpm1t/MPq6x762BfYGbzWy0mdX6kV9m1s3M3o/3P9LMuppZnpl9EL8eZ2b7LSmW2D+TxndfwnvePo5ntJmNMrN8MxtoZq8njbnHzI5Nep/Xx+OHm1lfM3vHzCaZ2Sn1PulLsdupA7n4lTPIbpZNbn4uAC3b5DJvzrxq43Y9ZSDvP1Q9MQu27sqv43+npLjxq2sAvqAQcvMAsNx8fF5Btf7yiZ9SfPM+lI15m+bbHE7WqtH/fonZdRW8G86OJw/k7P+dQXZONrl50XnOreU8A3z/0USu3/lmRr8+hu2O3oZ5s+fx2dAv+Oezp7HRTj3586cZDR5v3+N35KAnzyYrJ5vmcbzN83Ipmbt4vHlrtmPgpQfy9gWPVrVl5WSxx23H8fF1L1Iyd36DxysiUpf63Dh3iJl1Aa4Eroqb3yP6jNGb3P3JBogvk20AHAO0AQ4ENieaFn7VzAYAqwG/u/teAGbWNpWduvuXZvYq8Lq7v7CEoU8CN7j7S2aWS5R8LwT+4e6FcVL4dbyv3ZcQy0x372tmpwHnAyfWcbzzgdPd/QszywNSWX39q7v3MbPbgaFEF6zkEiW5D9QcbGaDgEEADz74YAq7X+Sd+z/mnfs/Zr2N12a3Uwfy5XPD6LVDD378dnK1cWt07kC3/p2i511WY59zdmFBcSk9B2zIhlt0YZ2ea3HSPUdyz3GP1Ov4f0fF5BG0GHgCZcNeIqfHAMonJ61Ly24OFdEFEF5SBDnNyV67B9lrbkDrU/5LdseAVqt1ovjeI6G84S+U+PDBj/nwwY9ZZ6O12emUgXzz/DB67tCDn4dVP885zbMpX1gBRJXOnBbRj5pvnh/GN88PY4Otu1E8q7jB4x35yIeMfORDVuuxDv2O34kJL39DpwE9+W3Ez9XGNWvdgr3uOJ73L32KBbMXxbXzNUfww5sj+H3EpAaPVWRl5SvZRQfLaokJm5nNBnZ295Fm9ghwNXA/0dToasAs4D13/3kJu2mqfnH3r83sFqLzMSpuzyNK5j4DbjWzG4mSr+U232Zm+cDa7v4SgLuXxO3NgOvihDEBrA2sQTRdXVcs/4u/jgAOWMJhvwBuM7Mngf+5+7TotnxL9Gr8dRyQ5+5FQJGZlZpZO3cvSB7s7kOIPhAXwL+85Kyl7X8xv373G4V/FfGv185k9m9zeOveDwE45taDefS85xhy2hNVY694/zxeu/09AN5/6FMALn7lDB4644nFd9yAKn6bQKJoJnlnPktizu+UfvgQLQ++hgXPXUpOjwHk7nACuJOYX8D8J86DhQsoG/sOAK0Ov4mSjx5ulGQt2bTx0Xk+95XoPL9/X3SeD7v5YJ6+4Dl67tiDnU7eAXdn3pz5PPrP6Jwe/+Ax5HfIY/bUOTzzr+cbLd6/Jkxj/sxCDn76XIp+n83wh98HYOerD+P9y56m77E70nadDuw4OCo+f3XnG3giQbBnX9quuyobHbgVP707hlGPftRoMYuIJDNfwso8MysFBrr7V2aWALZ0928bLboMZWadiBKfjc3sVuAHd1+sJGRm7YE9ie5T94G7X2VmPwFbu/sMM9sWuMbdB8ZTif3d/QwzG8oSKmxxwjbB3dep0X4s0ceFHenuZWY2hejfb0odsUyJjznTzPoDt7j7wCW8717xPk4DdgM6AJe4+55x/8PA5+4+tMa+q95bPK6qr86TDH5sh/onbOkydOadABSc1XgL6f+udnf+zGlrrDjnGOC+6XdyW7fT0h1Gys796b50hyCyvDRYGezRjU5skEsEjhn/cJMq3S1tSvQX4CQzaxG/3jSefquVu3+63CJbcbwDXG1mT7p7sZmtDZQRndvZ7v6EmRWwaKpxCtAPeAv4vzr2WQTk13VAdy8ys2lmtr+7vxz/+2QDbYEZcbK2A7A+gJmtVUcsKTOzru4+DhhnZpsB3Ymqcj3j47ck+miNz+u7bxEREVmypSVsNwAPEq3VcqILD2pjcX/28gttxeDu75pZD+CreIqwGDgS6EZ04UCCKIE7Nd7kSuA/ZnY18HEdu30GeMjMzgQOdPfaFtAcBTxoZlfF+z+IaF3ba2Y2DhgOTIzH9qojlvo4O04CE8B44C13LzWz54jWpE1m0bSwiIhISprgHTgaxBITNnd/xMzeAjYEPiL66KkJjRFYJnP3KcDGSa/vBO6sMWwSUfWt5rafEZ3Pmu1DiRbm4+5fsJTberj7j8COtXRtVUvblDpi6ZT0fDgwcAnH+2cd7RcCFy5l30OJ31vNPhERWbmtbJ90sKyWepWou/8B/GFmjwJvuPvkpW0jIiIiIstPfW7rcVxDBiK1M7N7iW6HkexOd/9vAx3vOKDmSvQv3P30hjieiIis3PQZIqmpz4e/Sxo0dqIUJ4INkgyKiIjIslHCJiIiImmjG+emRgmbiIiIpI0uOkjN8v7QchERERFZzlRhExERkbTRfdhSowqbiIiISIZThU1ERETSRmvYUqOETURERNJG92FLjaZERURERDKcKmwiIiKSNroPW2pUYRMRERHJcKqwiYiISNpoDVtqVGETERERyXCqsImIiEjaaA1bapSwiYiISNok9FEHKdGUqIiIiEiGU4VNRERE0kYFttQoYRMRERGpIQiCTYD7gIXA0WEYTk3qOxC4gCjfvDMMw6eDIDgWuAiYDrwahuFtyzMeJWySsYbOvDPdIdRbuzt/TncI9XLf9BXvHJ/7033pDkFElqMM/izRy4F/AB2JErEzkvq+BbYiWlr2CfB03H5tGIZPNEQwStgkY5Vcu0q6Q0hZ7r/nAHDB2melOZLU3fzbnRRftE66w6iXvBunMfXQzdIdRsrWfWYYZs3SHUa9uJelOwRZyTTUfdiCIGgHtKulqyAMw4IUdtE6DMMZwIwgCLold4Rh+Gt8DKf6rO5FQRAcD5wbhuHoZQi7TrroQERERJqis4HJtTzOTnH7rDqeJzsReCN+/hLQGzgeWK7ToaAKm4iIiKRRA96H7Q5gaC3tBckvgiDoSbRWLdnbVC/+LVYIjNe47QvsDxCG4dy4a0oQBMu9cKiETURERJqceNqzIIVx3wMDa7YHQbB5EASrEa1h+6lG36rAXcCBYRhWxG35YRgWBUGwCtD878ZfkxI2ERERSZsM/izRq4GXgTLgaIAgCG4Nw/A84ExgXeD5IAgAdgLOCoJgL8CAS5Z3MErYREREJG08Q2/EFobhKGCbGm3nxV+vAK6osck18aNB6KIDERERkQynCpuIiIikTYKMvQ9bRlGFTURERCTDqcImIiIiaZPI0DVsmUYVNhEREZEMpwqbiIiIpE2mXiWaaZSwiYiISNroooPUaEpUREREJMOpwiYiIiJpoynR1KjCJiIiIpLhVGETERGRtMngzxLNKErYREREJG10H7bUaEpUREREJMOpwiYiIiJpowJbalRhExEREclwqrCJiIhI2iRcN85NhRI2ERERSRvdhy01StikycnZYTBZ62yOz/2VstfPgER5tf7src4mu8e+LHxkRwCaH/12NCYrh7I3z8Jnho0e856X7MP6/TszZ9psnjv3KRLliy5079hzLQ64/mAqyiooLS7hiVMfpWzBQi78/FIK/ygA4IO73uPHzxov7uZ7XEL2+v1IzJlG6fPnVZ3jrI49aPGP66GiHC8pouSp08Cdlsc/Hm/YErJyWHDX7o0Wa6W2h59Biw17U/7XH8x+4CqoqAAgt+92tDngeCgvZ+HkiRQ8eivZq63FqqcPxhOOl8xn1t2X4gvmNXrMN9xwHVtvvRVTpvzC8cefSHn5ou/l/Px8nnjiUfLz8xk+fAQXXngxABtttBG33noTzZs357nnXuCBBx5s9LhFZPnTGrYVnJm5md2a9Pp8Mxuc9PpIMxtrZuPNbIyZPWxm7eK+j80sjNuHmVmfRn8Dy5mtvjGW35GFj+9JYtaPZHXfr/qA5nlkrd6zWtPCJ/Zh4RN7U/7x1WRvcVojRhvp2HMt2q7ZjvsPuIsZP02n9159qvVP/+FP7t3vDh448G6mjZ1Krz16A1BSuIAHDrqHBw66p1GTtayOPbA2a7Lggf8jMeMncnrtVdWXmP4jC+7bnwUPHkjit3HkbLwHlJewYMhBLBhyEGVfPUr59+80WqyVmq23AdmrrM6MwYMo+20KrbbYqaqv7JcfmHH5icwYfBJZbVahWZceJOYX8ddN5/LXVSezYMSn5O30j0aPuXfv3qy99toMGLADEydO5MAD/69a/6BBJ/LKK6+x44670Lp1azbbbDMArr/+Gg466FB23HEXJWuyQkg00KOpUcK24isFDjCzDjU7zGx34BxgD3ffCOgLfAmskTTsCHffBLgPuLkR4m1QWetsTsXkDwFITHqfrHW3qNafvdnJlA9/qPpGibLoa4t8fMaExgizmk79O/PDpxMBCD+aQKfNOlfrT662NcttxoxJMwBo0boFp7zwTw6/52hatmvVaPFmrd+fih8/AaDih4/J6rRZcrCLnjfLJfHXpGrb5vTam/KxrzVGmNU0D3pTMvZrAErGfEXzYJOqvopZ0yERVdsoL4NEAp9XhM8vjtvK8UTj//jfeuutePfd9wB4++132Wabrav1d+3aldGjxwAwcuQoBgzYls6dO9OsWTOefPIx3n77DYIgaPS4RaRhKGFb8ZUDQ4gSs5r+DZzv7r8BuHuFuz/i7rWVY74C1q7rIGaWbWZDzew7MxtnZufE7R+bWf/4eQczmxI/P9bMXjaz98xsipmdYWbnmtkoM/vazNr/rXddl9x2UFoUPS8txHJXWdTXog1Zq/fEfxtWfZvWq9P86LdptvstJH79okHCWpKWbVtRUlQCQElRCa3atV5sTDCwO2e/cwFdt+rGrCl/AXDv/lHVLfx4Aruet0ejxWst2+IlUTLjJUVYy3bV+rM3HEjLM98mu8tWJGZNWdSR2wbLXw2f8VOjxVopq3V+1ZSmzy8mK6/NYmOad+lJVtv2lE1Z9L+Htcqj9S7/x/xPXm+0WCutsko7CgsLAZg7dy7t269Srf/77yew444DAdh55x1ZZZVVWGONNejduxdHHnkM5513IbfdtsL/DSYrAfeGeTQ1StiahnuBI8ysbY32jYCRKe5jd+DlJfT3AdZ2943dvRfw3xT2uTFwALAZcC0w3903JUoOj6452MwGmdlwMxs+ZMiQFMOuoXQutMiPnrdog5fMqerK3vwUyoc9tPg282aw8LHdWfji0eTscPmyHXcZDBg0kFOeP4PsnGxy83MByM3PZX7B4mulwo8ncsduNzPuzTFseeQ2AMyfMx+Asa+PZq2eazVa3L6gEMvNA8By8/EFBdX6K374mAV37U75d2/SbIsjq9pzeu5K+ffvNlqcyXxeMdYySoStVR6J4sJq/dntV6fdMecy+77BSY3ZrHrG1RQ8fjuJedXHN6Rzzjmbjz56n2bNmtGmTZRYtm3bltmz51Qb9/DD/6FHjx68997bFBfP488/p1NQUMCIESMpLCxk/PjxrLbaao0Wt4g0LCVsTYC7FwKPAWfWNcbMepnZaDObZGaHJHU9aWaTiapx9y7hMD8DXczs7niqNZXfYB+5e5G7/wXMBSrnwsYBnWp5H0Pcvb+79x80aFAKu19cYto3ZHcaCEBWl51ITP2mqi9rlS7kbHsezQ59HlulK9nbnAdZOUB8SXlJIZQtWKbjLotPh3zMAwfdw/h3x7HBdhsCEAzswZRhk6uNy26eXfW8pKiEhQsWkt0su6q98xZdmTllZqPFnfhlONndtoti23B7ElOSKpbZzaueekkhLFx0PnN6p2c6FKD0h7Hk9tocgNxNtmRhOKaqz3JbseqZ1zLnoetJFC5Kitqf9G/mf/1+tbGN4fbb72CHHXbmlVdeY+edo7V2u+22C1988WW1cSUlJZxwwknsskt0Acfrr7/Bjz/+SIcOHcjJyWHttddm7ty5jRq7yLLQGrbU6CrRpuMOompacuVrPNG6tY/cfRzQx8zuAVomjTkCGEG0fu1uoorYYtx9jpltAuwGnAIcDBxPNCVbmfjn1tisNOl5Iul1ggb63vPp3+Hz/qL5UW/ihdMo+/pucva4nfK3zqHs1VOqxjU//kMqvrgV2qxD8/0exBMVgFP+zoUNEdYS/T7+N4r+KuLU/51JwW9z+OSBaA3e/914MC9e9BzdB/Zgu0E7gDvz58zn6bOeoGXbVpzw+MksnF9K+cIKnjvvqUaLN/HH93jxTFqe8iKJgt8p/fRBWhxwA6X/u5jsYCDNtxsE7vj8OZQ8e1a0UW5+NB1aY01bYyn75Qcq5s5m9cFDKJ85naLXnmCVE//FnIevJ3/Pw8hefS3aHX8BAIXPD8E9QcstdyZ79bVoPXAfFgz7mOK3nmnUmMeMGcP06dP59NOP+PXXqdxyy20APPDAfZxyymlssskm3HHHrSQSCR5//EmmTJkCwM0338pHH71PdnY2Z511bqPGLLIs9FmiqTFvihO9KxEzK3b3vPj5TcChwCPuPtjM9gSuBvZz92nxmP8An7n7UDP7mGiN23AzawlMAnZ094m1HKcDsNDdC81sY+AJd+9jZg8DI9z9fjM7Gzjb3TuZ2bFAf3c/I95+Svx6Zs2+OnjJtassoTuz5P47qsxcsPZZaY4kdTf/difFF62T7jDqJe/GaUw9dLOlD8wQ6z4zDLNm6Q6jXtzL0h2CZKYGu7vtmR3PapBE5K4/7mxSd+TVlGjTcitQdbWou78J3AW8ZWbfm9mXQAWw2H0V3H1BvP0Fdex7beBjMxsNPAH8K26/BTjVzEYlH1tERCQV3kCPpkZToiu4yupa/Hw60KpG/6PAo3VsO7DG61trGxf3jSGaXq3ZPhHondR0adw+FBiaNK5T0vNqfSIiIrJkSthEREQkbbSGLTVK2GQxZvYN0KJG81HxhQsiIiLLjZbSp0YJmyzG3bdY+igRERFpLErYREREJG2a4j3TGoKuEhURERHJcKqwiYiISNroooPUKGETERGRtFG+lhpNiYqIiIhkOFXYREREJG00JZoaVdhEREREMpwqbCIiIpI2unFualRhExEREclwqrCJiIhI2ujGualRwiYiIiJpo4sOUqMpUREREZEMpwqbiIiIpI0KbKlRhU1EREQkw6nCJiIiImmjNWypUcImIiIiaaP7sKVGU6IiIiIiGU4VNhEREUkb3YctNeaqRUpm0jemiEjmsIba8aGrnNUgP++fmXNng8WcDqqwScb6YMuD0h1Cynb6+nkAPtzqwDRHkrodv3phhTrHEJ3nFSnmFS1eWHFjlhVXIkMLR0EQbALcBywEjg7DcGpS30Dgv8AvwLdhGF4YBEFb4ClgFeDKMAzfWZ7xKGETERGRtMnMdA2Ay4F/AB2Bi4AzavT/JwzDa5JenwQMAd4FXgGUsImIiIgsSRAE7YB2tXQVhGFYkMIuWodhOAOYEQRBt1r6jw6CYFfgqjAM3we2AB4Mw3BBEARFQRC0CsNw/jKGvxglbCIiIpI2DXgftrOBK2ppvxIYnML2WXU8BxgObATkA28HQfAh0CYMw6K4v4goWVTCJiIiIrIEdwBDa2kvSH4RBEFPorVqyd6m+gWs1S5mDcOwOH46OwiCH4EOQGEQBPlx0pZf8zh/lxI2ERERSRtvoFVs8bRnQQrjvgcG1mwPgmDzIAhWI1rD9lONvvwwDIuCIGgOdANmAd8COwRB8C6QvzynQ0E3zhURERGpzdXAy8BdwE0AQRDcGvcdFATBN8BnwB1hGFYADwGnAh8Cty3vYFRhExERkbTJ1M8SDcNwFLBNjbbz4q+PAI/U6CsA9mioeJSwiYiISNrokw5SoylRERERkQynCpuIiIikjT4iMzWqsImIiIhkOFXYREREJG20hi01SthEREQkbTQlmhpNiYqIiIhkOFXYREREJG00JZoaVdhEREREMpwqbCIiIpI2Ca1hS4kSNhEREUmbhvrw96ZGU6IiIiIiGU4VNhEREUkbXXSQGlXYRERERDKcKmyywul6+hG06xWw4I+/mHDNfXhFxaLOrCx6/OtkWq3bkcKJP/PjHUMBWPfgPVl9560om1vM+CvuomL+Atpu0p1upx8J7ky86SHmTfqVzicexOoDt6SssIjCiT/z012P0XLdjvS69lxarb8Wn+1+AhULSpY99tOOpG2vgJI/ZjDh2qTYs7Lo/q9TaLVOR4rCSVVxr3Pwnqy+09aUzS3i+8FR3JveeyWWlYUnEvzx2gf8+fandDr+IFbdalMApr3wFtPf+WyZY1ws5uV0vruedgQd9xjAn+9+zk93P75o/6ceTpue3bDsLEaffS2JhWUZHXPrruvR/YITcXemvfgOM97/suHirUesvW+5iGb5eQCEt/6H4h+m0PmEA5O+L97mz7dXjO+LVuuvRY9/n4pXJCj5fQbfX33vcotbMk9Ca9hSogpbPZhZJzP7Lt1xLC9mVpzuGOorr9v6tFitPSNOuZz5v/zG6jtuWa2/wzZ9KZ05hxGnXE52yxa02XhDmrXNp8N2/Rkx6DKmv/8F6xy4GwBdTz6MMeddz3eX30m304+o2sdP9z/JyNMG89NdjwFQOmMWI069gsLxPy6X2EeeehnzasTeYZt+LPxrNiNPvYzs3NykuDdj5MmXMuP9L1nnwN2rxo8591pGnX4Ff779KQB/vv0JI066hJGnXs76R+3/t+KsLeblcb6nPvMG46+4q9r2q++wJQtnFTDqn1cx8rTByyVZa+iYu516ON9fcx8jT7+SdQ7YlazmzRos3vrE+sNt/2XEyZcx4dr76TroUAD+eOtThp/4b0accgXrH7n/34oz1ZjrG3dt53id/9uNyf95gZGnXoFXJGjba8PlFrvIikoJm6xQ2vYOmP3NGABmfTWatr27193/9Wja9Q5o07MrBaO+r9qmXe/uZLVojicSlBfNo3T6TJq1yavaR9dBh9L3vitZpd/GACRKF1Ixb/7fj71XwOxvo9hmf1099uS+WV+Pom3v7uT36EbBqPHV2qKAEmxy6yX0uukictfsAEDJ7zMA8PJyvGL5rQhZXucbYOHsgsWuBuuwXX9arNmBvvcNpvMJB64QMTdv35YF0/6ERIKSGbNo3WXdBou3PrFWfg8kysqrPuqn2vdFYsX5vpg3eRo5+a0ByG7dkrLCFe5vS6mHhHuDPJoaJWz1l2NmT5rZBDN7wcxamdlOZjbKzMaZ2SNm1gLAzKaY2ZVmNjLu6x63Dzaz8yt3aGbfxdW71mb2hpmNidsOqSsIM9vMzL6Mx35rZvnxPj6LjzfSzLaOx3Y0s0/NbHS83+2S9nNtvI+vzWyNJRzvoHjbMWb2adx2rJndkzTmdTMbGD8vNrObzWy8mb1vZpub2cdm9rOZ7bvMJz+/NeXzFgBQPm9+tUQLoFl+3qL+4qg/Jz+P8jjhqpg3n5w2eeTkt66WhHlFAsvJYepzb/HtMRfy3aW3seE5x2E5y2/VQE6bRXGUx3Es6X01a7OorSLpvY77962MPO1ypj79Ghuce0K1Y6x76N789dHXyy/m5XS+69K8fVsWzipg5GmDad15XdpstEHGx1wyfSZtenYjK7cFbTfacLH9L894lyXWDc48il+ffLVa27qH7sWMj776W3GmGvOyxp1s1jdj6HrKYWz5zB14eQXzf/l9ucUumccb6L+mRglb/QXAfe7eAygEzgWGAoe4ey+idYGnJo2f6e59gfuB81my3YHf3X0Td98YeLu2QWbWHHgWOMvdNwF2BhYAM4Bd4uMdAlTOMxwOvOPufYBNgNFxe2vg63gfnwInLSG2y4Hd4rGpJFytgQ/dfSOgCLgG2AX4B3BVHe9rkJkNN7PhQ4YMqda37mF70/e+wWTlZJPTuiUAOa1bLfaXd3nxvEX9eVF/edE8clq3AiC7dSvK47bsuA3AsrPw8nLK4/0tnD2XeVOm0WL19im81dQkx5ETx1Fr3K2T425ZFXfle63crmDU97TosCi+9ptvQttNejDl0f/97ViX9/muS3nxfOYMj1YZzBk+7m9Vqxor5h/vfpzOJx5Er2vPZd4v0yidVbDMMS8WT4146xtr5xMPZu53P1IwekJVW/vNe9OuTw+mDH3pb8UJjXeOu516OBOuu5+vDz2bssJiVt2qz9+OXWRFp4St/qa6+xfx8yeAnYDJ7v5D3PYoMCBpfOVvzxFAp6Xsexywi5ndaGbbufvcOsYFwB/uPgzA3QvdvRxoBjxkZuOA54Ge8fhhwHFmNhjo5e5FcftC4PUU4/sCGGpmJwHZS3kflfuuTDjHAZ+4e1n8vNbjuPsQd+/v7v0HDRpUrW/q068z8rTB/PXpcNpv1huA9ltuwtyxE6uNKxgbVvWvukUfCsaGFE6YRLtNe0RtW/ahYOxEEqULsewscvJa0WL1Vat+4WS3in7JZLVoTqtOa7Pwb/4yTjZ3XMgqVbH3qRZ7tb4tor7CCZNo16dnVdyV4ytjbNVpHcqLorhbd12PTscdyISr7oblMBWwvM93XQrGTiRvw04A5G3YmZLfpmd8zCW/z2DMudcz7pJbIeHM+3nqMscMMHfsD3XGW59YO+41kNzVV61WXWvddT06H38g3195zwr1fYEZZQXRj6myuYVViZ40TQm8QR5NjRK2+qv5XVCwlPGl8dcKFl2VW071c58LECd9fYmSmmvM7PJ6xnYOMJ2oitYfaB7v91OiJPI3oqTr6Hh8mXvVT/Hk+Bbj7qcAlwLrAiPMbNW63kct+04Qnwd3TyzpOEtT/OMUFs6eS78HriKvy7rM+OgbALpfFCV4s74YQYs1O9DvgatILFxI4Xc/UFZQyMwvRtJvyNWsueu2THvxXQB+fvAZNrntEja+5mwm3fcUABv88yj6DbmGvvcN5peh/yNRupCc/NZsevdl5HVbn01uuWiZ/9qPYi+g7/1X07pzFHuQFHfuGh3oe//VJBaWVcU968uR9H3wGtbYdTumvfgOAJveM5i+919N94tO5sf4wogNzj6OnDZ59L7lX2x675XVqod/x/I83+sevCcbnHkMq++4FRtddRYAv7/6Iatu2Ye+90VXvs4ZOT7jY+6410D63nsFvW++iMmPvPC3E6Ha4q13rFlZdL/4ZFp1Wou+9w2mx6WnAbDh2ceS0yaPTW69mL73DV5hvi+mPPYS3S8eRN/7riR/g0789emw5RK3yIrMvAkuzGsoZtYJmAxs7e5fmdnD8euTgR3d/SczGwqMcvc7zWwK0N/dZ5pZf+AWdx9oZkcCe7v7oWbWl6gC1pWoKjXb3UvMbG/gRHffv5Y4mgMTiaZhh5lZPtGU6M3ANHe/1cyOAx5xdzOz9eP2CjM7A+jm7mebWbG758X7PDCO6dg63ntXd58UPx9GNH2aB9wEbAusDYwH9nX3j2vsezBQ7O63xK+r+pbAP9jyoKUMyRw7ff08AB9utXwWzjeGHb96gRXpHEN0nlekmFe0eGHFjVkanDXUjrdudWKDJCJfzn+4wWJOB92Hrf5C4HQzewT4HjgT+Bp43sxyiJKvB5ayjxeBo81sPPANUDmd2gu42cwSQBnV18JVcfeF8QUJd5tZS6JkbWfgPuDFuIL2NjAv3mQgcIGZlQHFwNGL73WpbjazDYj+p/0AGBO3TyY6DxOAkcuwXxERWYk1xQsEGoIStnpw9ylA91q6PgA2rWV8p6Tnw4kSJ9x9AbBrLfuZAryTYizDgC1rNP8I9E56fVE89lGitXU195GX9PwF4IUlHO+AOrqOqK2xxr4H19UnIiIiS6eETURERNKmKV4g0BCUsGU4M3sJ6Fyj+SJ3T6kStwzH+zdQcwHL8+5+bUMcT0RERJZOCVuGc/d/NPLxrgWUnImISKNI2PL7FI6mTAmbiIiIpI2mRFOj+7CJiIiIZDhV2ERERCRtHE2JpkIVNhEREZEMpwqbiIiIpI3WsKVGFTYRERGRDKcKm4iIiKSNbuuRGiVsIiIikjYJXXSQEk2JioiIiGQ4VdhEREQkbVRhS40qbCIiIiIZThU2ERERSRvdODc1SthEREQkbXSVaGo0JSoiIiKS4VRhExERkbTRRQepUYVNREREJMOpwiYiIiJp41SkO4QVghI2ERERSRtNiabG3D3dMYjURt+YIiKZwxpqx13y92qQn/c/F73RYDGngypskrHKH2iR7hBSlnNKKQAFZ3VJcySpa3fnz5R9sVG6w6iXZtuMp/yDFecc5+z0M3dscFq6w6iXs3+8j18O3iLdYdTL+s99wwdbHpTuMFK209fPpzuEjKIKW2p00YGIiIhIhlOFTURERNJGFx2kRgmbiIiIpE2mTokGQbAJcB+wEDg6DMOpSX3HAsfGL/sB6wP7AhcB04FXwzC8bXnGo4RNREREZHGXA/8AOhIlYmdUdoRhOBQYGgRBPvBaGIazgyAAuDYMwycaIhglbCIiIpI2DfXh70EQtAPa1dJVEIZhQQq7aB2G4QxgRhAE3eoYswfwVtLri4IgOB44NwzD0alHu3S66EBERESaorOBybU8zk5x+6w6nifbD3glfv4S0Bs4Hliu06GgCpuIiIikUaLhLjq4AxhaS3tB8osgCHoSrVVL9jZUK/0tVgYMgiAH6BqG4USAMAznxl1TgiBY7mVDJWwiIiLS5MTTngUpjPseGFizPQiCzYMgWI1oDdtPtWw6APg0aXx+GIZFQRCsAjRftqjrpoRNRERE0qah1rAtB1cDLwNlwNEAQRDcGobheXH/fsBzSePPCoJgL6JPhbhkeQejhE1ERETSJuGZeR+2MAxHAdvUaDsv6flZNfquAa5pqHh00YGIiIhIhlOFTURERNImg6dEM4oqbCIiIiIZThU2ERERSRt9lmhqlLCJiIhI2iRcU6Kp0JSoiIiISIZThU1ERETSRhcdpEYVNhEREZEMpwqbiIiIpI1n6I1zM40SNhEREUmbhKZEU6IpUREREZEMpwqbNDm3frYKo39vwdptyrl615k0y47av52ay7/e7sC67crJMueRA6cDcNwLazBhRgtu2P0vBnZZ0Ojx5u5zETmd+5KYPY35T10EiXIAstbqTquDr4aKcrykmHmPngkLF9Dq+PvIar0K5LRgwavXUzFpWKPHfNvzFYz+yVmrg3H1cVk0y7Gqvje/SfDCJ07CnbP/L5s+3YynP0jwypfRX9En7JHFLv0b/2/FW1/KYvTPxtqrwtVHVVR9XwC8Odx4/vMs3OHs/RL06eL8OQeufiabeSXQfwPnjL0bvwqw7QX703HTLhT+Nov3/vU4ifJFMXTesRdbnLY7FWUVzBg/lU+ueZ4266zKbjcdg7tTNr+Ut855hIXFJY0Wb7sjTqfFhr0p/+sPZt1/NVREU10t+21L2wOOwysqWPjzROYMvQ2ANS6/l+adA2befQULRn7RIDF1Pf0I2vUKWPDHX0y45j48jomsLHr862RarduRwok/8+MdQwFY9+A9WX3nrSibW8z4K+6iYv4C2m7SnW6nHwnuTLzpIeZN+pXWXdej+wUn4u5Me/EdZrz/JR227Uen4/4PL6+gaOLP/HD7fxvkPTU1rtt6pEQVNmlSJv7VjBnF2Tx+yJ90bl/Guz+2rta/ezCPoQf9WZWsAdy4+0yO2rSwsUMFoqQsq90aFN91CBXTJ9Gszx5VfYk/f6L4joMovvswKqZ+R7PeuwIw/9GzKL77MOY/+k9ydzuz0WOe+KszfQ489q8cOq9pvDfcq/pmzHE+GuX854Ishl6UQ59uUSL3zEcJnrgkm/9emM1DbzT+D+eJ02BGgfH4eRV0XsN5d+SiBHNGAXw4NotHzqpg6DkV9OkSvZ9bXsrm8sOitnQkax26r03rNdrx/OG3Mfvn6Wywe99q/TMnTOPZQ27l+cNuo9Wqeay+8XqUFs7n1ZPv54UjbufnD8ay8SHbNlq8zdbfgOz2qzH9ipMp+20Krbbcqapv4ZQf+fOyQUy/fBDZbVeheZfu0Xu4+woK33ymwWLK67Y+LVZrz4hTLmf+L7+x+o5bVvV12KYvpTPnMOKUy8lu2YI2G29Is7b5dNiuPyMGXcb0979gnQN3A6DryYcx5rzr+e7yO+l2+hEAdDv1cL6/5j5Gnn4l6xywK1nNm1H04y+MGHQpI06+jGartCG/e5cGe2+y8lHC1kSZ2Vpm9kK642hso3/PZev1oyrZtp0WMOr3FtX63/uxFUc9uyaPj8yvals9L30LXnM696Ns4mcAlE/4lJzO/RZ1xpU2AJrlkpgxOXpeURZ9bZFH4o8fGinSRUZPcrbeKEp4tu1ljPppUcL2+XdO82Zw0i0JLn6ogvklUd86qxmlC2FeCeS3slr326Ax/5zF1j2ipGvbjRKM+nlRDJ9/bzTPgRPvyubioVFFrawCfp8FN7+YzXF3ZDNqUuPHvFbfLvz6+QQAfvl0PB37Vv/lX/THHLwiek8VCyvwhFNauIDSouj7v6KsHE80XqLZYsNelIz5BoCS0V/TIuhd1Vcxazokov/PvLwMPPq+qJgzs0Fjats7YPY3YwCY9dVo2vbuXnvf16Np1zugTc+uFIz6vmp8u97dyWrRHE8kKC+aR+n0mTRrkwdA8/ZtWTDtT0gkKJkxi9Zd1qV0+syqfxMvK696n7JkTkWDPJoaJWxNlLv/7u4HpjuOxlZYmkVe8+iHZF6LBHNLFn2Lb7RGKa8f+xv/OfBPPv+lJeOnN09XmFWsVVsoKQbAS4qw1u2q9ed0H0DeBa+R020LEn9NqWrP++cz5J32GGXff9SI0UYK50Fey+h5fkuYO29R36xCmFMED52fRZ+uxlMfRP8WA3ob+15awYGDKzhmt8ZPfgrnQ15u9DwvF+bOWxTDrEKjoBgePrOCTTo7T32SRUExTJxmnPuPCm46roLrn2/8H5Ut2rSqms4sLSoht13rWset0Wt9Wq2az1/fT120bX5Leh82gO//93WjxAqQlZdPYkH0zZCYX0x2XpvFxjTv2oPsNquwcHLYKDHl5LemfF6UwJbPm1+VbAE0y89b1Fcc9eXk51E+bz4AFfPmk9Mmj5z81lTEbQBekcByciiZPpM2PbuRlduCthttWG3f+T260qx9W4rCyY3xNmUloYQtA5hZazN7w8zGmNl3ZnaImfUzs0/MbISZvWNmHeOxZ5rZ92Y21syeidu2N7PR8WOUmeWbWScz+y7uzzWz/5rZuLh/h7j9WDP7n5m9bWY/mtlNS4gx28yGxvGNM7Nz4vaPzax//LyDmU1J2vfLZvaemU0xszPM7Nz4+F+bWfuGOJf5LRIUL4x+GReXZtE2d1GFoXVzp3k2NM+GgV0WEP6V/oTNFxRCbvSD3nLz8XkF1frLJ35K8c37UDbmbZpvc3hVe/Hdh1J02z/I3feixgwXgDatoDhe6le0ANom5RH5rWDz7oaZsUUP46ffneIFzrMfJXjj+mxeuzabe15K4I1cechvCZVLuYpLoG3rRcfPbwWbb+iYwZbdE0z6w8hvCeutBmu1h9XaQrNsKG+kP9g3PW5HDnzibLJysmkeZ5kt8nMpKZi32Ni8Ndux/b8P5J0LH61qy8rJYvfbjuPT61+kdO78xbZpKIl5xWS1jL4ZslrlUVFcfZlBdvvVWeWYc5h571WNFlN58TxyWkd/XeS0bkVZYXHtfXlRX3nRPHJat4ribd2K8rgtO24DsOwsvLycH+9+nM4nHkSva89l3i/TKJ1VAECL1dqz4TnH8v1V9zTSu1zxuSca5NHUKGHLDLsDv7v7Ju6+MfA2cDdwoLv3Ax4Bro3HXgxs6u69gVPitvOB0929D7AdUHPl/OmAu3sv4DDgUTOL6w30AQ4BegGHmNm6dcTYB1jb3TeO95PKatqNgQOAzeL457v7psBXwNE1B5vZIDMbbmbDhwwZksLuawmyYylf/xr9EP7il5ZsulZpVV9x6aKqysjfWrBeu7JlOsbyVDF5BM023AaAnB4DKJ88YlFn9qKE0kuK8IXxP2tWfK1Q6TwobbxfyJX6dDO+/j5KeL74ztm026Lzumk3Y+LUqG/iVGed1SDLILc5tGgGLVtAOmaK+nRJ8PXE6MfdF99nsWmXRQFs2iXBxGkWx2ys08HJbQ7tWjuF82F+KSwsN3Kya931cjfqvx/ywpF38PMHY1l362gKb/3tevLHyJ+rjWvWugV73H48H1z2FAtmL0pEdrrmCH54cwS/j5jUOAHHSsOx5PbaHIDcPltQGo6t6rPcVnQ4+xpmP3QDicI5jRbT3LE/0H6zaGq2/ZabMHfsxKq+grFhVd+qW/ShYGxI4YRJtNu0R9S2ZR8Kxk4kUboQy84iJ68VLVZftSrpK/l9BmPOvZ5xl9wKCWfez1PJbpXLxtecw8QbhlA2Jz3rYldETqJBHk2NrhLNDOOAW83sRuB1YA5RsvOemQFkA3/EY8cCT5rZy8DLcdsXwG1m9iTwP3efFm9XaVuiBBB3n2hmvwAbxn0fuPtcADP7HlgfmMrifga6mNndwBvAuym8r4/cvQgoMrO5wGtJ77d3zcHuPgSozNS8/IF/pnCI6nqsvpBVW1Vw1LNr0rFNOcf2m8vg91dl8M6zePuH1jw/Lp+cLGfTtUrpv06UzF367qoMm5rLB5Na8ePM5py0+dx6H3dZVfw2gUTRTPLOfJbEnN8p/fAhWh58DQueu5ScHgPI3eEEcCcxv4D5T5wHOc3JO2VotHFWNgtev6XRYq3UfT1j1bZw9PXldFzVOG73LK58tIIrjskmWNdYsz0ce2M5zXOMGwdl0SrX2LlfFkdcW0HC4dAds8jKatxp0R7rwqptnKNuzaZjezh25wSDn8pi8OEJgnVgzVWcY2/PplkO3HRcVEo7a98Ep9+fTVkFnL5346+H+WvCNObPKuSgp86l6I/ZjPjP+wDsdPVhfHDZ02x67I60XacDO1xxCABf3fUGnkiw4R59abvOqmz0f1vx03tjGP1o40ybl/3yIxVzZ7PGlQ9SMfNPCl99kvYnXczsh26gzV6HkrN6R9offz4ABc89ROmEUax66qW06NmXVpttT7N1u1L4ymPLNabiH6ewcPZc+j1wFSXTZ/Lrk6/R/aJBTLxxCLO+GMFq229OvweuouiHyRR+F60HnfnFSPoNuZrywnl8d8VdAPz84DNsctslgBPe9DAAHfcaSMc9tydRkWDSfU+CO+seshe5HVcnOP+EaLuHnqtaEyfyd1ljT01I7eIpwj2Bk4APgd3dfataxmUDA4B9gD2AXu5ebma94u1PA3YDSoDX3X1jM3sJuNvdP4z38RlR1a0v0N/dz4jbXwducfeP64gxL973UcBsdz/ezN4HLnH3b81sHeBzd+9kZsfW2PeU+PXMmn118PIHWiyhO7PknBIlfwVnrThXhbW782fKvtgo3WHUS7NtxlP+wYpzjnN2+pk7Njgt3WHUy9k/3scvB2+R7jDqZf3nvuGDLQ9Kdxgp2+nr59MdwrJosL+yWrXo1CCJyPzSKY2/YLYBaUo0A5jZWkTThU8ANwNbAKuZ2VZxfzMz28jMsoB13f0j4CKgLZBnZl3dfZy73wgMA7rXOMRnwBHxvjYE1gPqterXzDoAWe7+InApUbIHMAWovLRxpbvIQUREpDFoSjQz9AJuNrMEUAacCpQDd5lZW6J/pzuAH4An4jYD7nL3AjO7Or6QIAGMB94COibt/z7gfjMbF+/3WHcvrTFtujRrA/+Nk0aAf8VfbwGeM7NBRFOlIiIiKWuKFwg0BCVsGcDd3wHeqaVrQC1ti90J091rW+w1hWgdHO5eAhxXy3ZDgaFJr/deQoxjWFRVS26fSPX1aJfWse9OdR1XRERWXk3xAoGGoClRERERkQynCpssxsy+AWqu+D/K3celIx4REWm6NCWaGiVsshh3X7EuERMREWnilLCJiIhI2mgNW2qUsImIiEjauDe9D2pvCLroQERERCTDqcImIiIiaaQp0VSowiYiIiKS4VRhExERkbTRbT1SowqbiIiISIZThU1ERETSRrf1SI0SNhEREUkjJWyp0JSoiIiISIZThU1ERETSRxcdpEQVNhEREZEMpwqbiIiIpI0uOkiNEjYRERFJIyVsqdCUqIiIiEiGU4VNRERE0sc93RGsEFRhExEREclw5spsJTPpG1NEJHNYg+3YmjXIz3v3sgaLOR1UYZNMZQ31MLOTG3L/K3u8ilnxNpWYV7R4GzjmBuNeZg3xaMiY00EJm6yMBqU7gHpa0eIFxdwYVrR4YcWLeUWLF1bMmCUFSthEREREMpwSNhEREZEMp4RNVkZD0h1APa1o8YJibgwrWryw4sW8osULK2bMkgJdJSoiIiKS4VRhExEREclwSthEREREMpwSNhEREZEMp4RNREREJMMpYZMmw8ws+euKYEWKtSYzWyF+fiR9XzSr2ZaJkuJtY2at4ucZf64z+ZymYkWPX5q+jP8hIJIqd3cz2wE418z2SXc8qYhj3trMTjezdZKTikyTlEh0NbOWQHaaQ0pJfI73BG4xs2sr29IcVp3ieP8BPA+8a2abunsi3XEtTRz3LmZ2vpntYGat0x1TXZK+l3uY2aZm1jyOP2O/p5NiDsysrZnlpzsmaVxK2KTJMLNNgceAZsBQMzslzSEtlZltCzwE7ADcD+xhZnnpjap28S+03YB3gGeAE8xsvTSHtVRm1gm4DfgM2NXMHktvRLVL+oXcCjgJuBR4FnjWzLZOHpOJzKw3cAuwAXAwcF6mJhVJ38sfAxcCX5tZa3evyNSkLY55Z+AD4D7gQjPrmuawpBEpYZMVWtIvufWJKj5nufsNwJ5EvzAyLmlLijkfWAc4zd0PBN4F9gd2zKRfdDXi3Q84BHgA6AYcmslJm5ltAnQE7nH3F4AtgLXMbGhaA6tF/At5R+Aw4Gd3H+budwN3AA+b2XaZVhlM+t5YA9gEuMzdTwZeBNoB55hZm/RFWF1SvC2B9sB+7n4YMBwYkYlJW1LMbYEBwIFEf4BUAGcqaVt5KGGTFVrSX8pfAncBp5vZ2u7+DXA4MNjMzkhrkDXEMe8LfA2cDxwXt98NjCCKe+dM+aURx7sHcDKwPjDK3d8i+kt/deCYuIqVEZJ+wW1PVA28GhhkZgPjqcVdgMDMnk5jmFWS4t0UeBDYBtjczM4HcPf7iO5e/6iZtUtXnLWJvzf2Bt4ELgb+L+76CHgDWBO4IMO+l/ciiu0koHvcPoio2hZWJm3pi7K6pP//LiT63pjq7iOA14HZRJW2bumMURqHEjZZoZlZX2BHoqrPOUR/Kf/TzNZy92FEFaHv0hjiYswsIErSTgP+CfQwsysA3P1e4CtgUqb80jCzzYFbgQVAT+BpgDhp+wToQAb9LKlcFwjsSlSxPAR4FDjEzAbEVaqtiSpXaRfHuz1wNnC6ux8PXAd0MrNz4jF3AAPdvSBdcdYmngY9DTgKOBTYyszOiL93PwJeAp7KoO/ljYAjib4fvif6f28XAHc/hajK3T99ES7OzLYErgUmAmsA/wZw9+HAW8BfQPO0BSiNRh9NJSssM2tOVKVKADu7e4GZbUc0HdoKuMndf4vHWiZMJ5lZB6I1ay2Bw919tpn1Au4FvnD3f6U1wBri5PISYJy732LR1YojgAnufng8ZjV3/yudcdZkZg8D+wB7u/uw+H3sRTRt9193/zid8dVkZjsBLwA3u/t18YL9nYn+4Jjg7jebWVYmXXwQx3gV0Xke4O5/mtlmROtI/+Put6Q1wBriZRM/ADe6++VmtiFRMt8a+CT+A6RybKb8vOgM3A6McPer42nRt+PXZ8Rj2rh7YTrjlMaRMX8Vi9RHvG6jHVFyVgGcC+DunxFNg5UBVevAMuSHbwDMJ7q4oBTY3czau/s44ExgJzPbIFMWlptZLlBOtDZwGzPbJE4Y+gGbmdmL8dCZ6YqxJouu+tvK3U8EXgGuNrMW7h4STduNJ7Pi3cjMTnf3D4jWJp1kZvu6+zzgfaJprzcBMixZ60f0vfwA0R9N58VLEYYRVY9PjxOkjBAnNb8A1wNnm9k67v4D8CTRz4+d4j+mgIz5edECmAtMA3Yzs83dfS5R5Xh7M3sQQMnaykMVNlmhxBWe1sBNQAHRVF1zor86X3T3K+Nxq7j7nHTFWVO88PpyotjPJZrGPRx4DXjP3WeZWZ67F6cxzCrxX/ZDiNatLQTOA2YBr7j7uDip3MbdP09jmFXi7wsDrgDWAoa4+7dm9gRRYn+Quy8ws1buPj+NoVZjZgcQJWqfuPuD8VqlO4FL3P2FTKuqVYrX/61DtAi+O3ACUXJ/j7tPM7O2cXKRdvEfdzcCt7n7l2Z2JTAI2NLdf6lc/+XuP6UzzmRm1oVond2ewAyi///WIKoOD49/nmzs7l+mMUxpZKqwyYrG3L0I+A9R8nM6cbWKaPH7NQCZkKwlV8riv4JfIPqL+TrgQ+ApoimZ3c0sJ1OStdgcottg3E1UYbuXKPE51Mx6eyQjkrVYfrxO6lZgKnCkmW3h7kcSJZyvxtNcGZGsVV7Z5+7/I7p1R38zOy2elrsAuN3MVgcy4i/qpAsjsgDiKysnE62hmkj0/2M+0VWhLYCM+V5290nAJOCM+HviCqLbYow3s/Xd/adMStYA3P1nop8XLwGrEv1/+AdR5XJzdy9UsrbyUcImKwwz6wH8J57eGA78l+gqtH8BRcB2RNOhGSFeTL6DmV0cv/6a6IdwOVG17T2i9zDe3cvTF+ki8bQt8eL2u4guKhhCNP31MJAXP88Y8dTbU2a2bVzVuZ2o+nqRmfVz9wOACzJhmguqbs9wgy26ie8rRInPMWZ2fvy6r7vPyJSY4+/lzYjuvZcXtx1NVHV9gShpux942N1LM+Eig3i6eT8Ad7+IaP3aBWbW392vJkruM+rqSjPrVjk16+6XEd08+U2iNbkPAL8A89IXoaSTEjbJaDXWc5UQVdNujZO2UURrUA4lmjL4y90/S/casBrH/4Po1iLnxa9HAKOBPYimaV5z99GNGmAdzCwHeNrM7oaqpO1hYDpRNbAY+FcmVCOSKj4tiaaMPgLOj9evFRKtVdoQON7M2qX7HCfFu36cVN4NrG9ml0FVpW0i0drA9TLlIo6kuLOJfl8MAg6yRTd3vh7YDHjZ3b9z9wnpiTRS4/+9HYli3QfA3QcTJTtPmNmW7n6Fu3+Q7p8XlSz6lJM7iZLKyqTtWmAk0S10WgDXuvv49EUp6aSETTJW5ZVaZravmV1HtPj2VqIKz+3xsKnAWKL1awshvQuGk2LezcxOcveJwKbAxWZ2YRzbz8Awoivp0lpBSfqFvDFR9Ww3YAszuwnA3WcT3SplBtAxE6YUk87xPsBzRFO2jxFNM19k0W1IVgd+Jar4FKQt2Fgc757A+/H6pK+JKlLdzezOOOb1gFvd/dd0xlop6TzvQrSm7huie4EdTXSLlByiZQlDif74SKukeHey6MrrZ4im9feurLQR/QEyi6giD6T/50X8dVOi2YKTidYEnmFmq8XD3gamAJ3dvSwdcUqGcHc99MjYB9GtGEYCu8WvDehCtAZlNFFVYs90x1kj5t2BCcD2SW0bAL8TTYH+Vvl+MuFBdFuGcUSLsCFKdr4mqgIdH5//3umOs0bMuwFjiO5NBtEfn+2AE4nurzUG2DfdcSbFu0X8vbpZ/LoN0TRXd6Jpr/eI7rqf9lhrxL0r0VTigKS2vkTTdP8lqr7unO44k2Lbh+hK4D3j1x2BU4iutr03/l7eLt1x1oh5P2BUZVzAukRr124jWs84Atgo3XHqkf6HrhKVjBUvcL4H+B/RD9qtiKYSnyb6ZIPtgZnunjE3xrXocyBfAu5299fNbFegN9EapT+Jbso526PbH6Td/7d33uFy1NUb/7xJgCQQkiC9RgQCAopUadKVXhWVIiAlIk2kCBiqClKEoBSpggpSBOmdHwpIR1Gk9yJFFBCkJ3l/f5zvhsl6EwiS+917cz7PM8/dnZ3de+7c2Zkzp7ynRCJ+RXRRPlK6Q8cQ0hf7Es7blbYvqmflf1NSzE8RTvtShGP5K+DXRKQK20+2oi617Gyh0FlbArgDWIzoqrwF+KHtZxTyLi93kL0C+hMCs2fYvqJEqVbl/e/jJ4GpHfWk1SkRqYuBbWw/VI7tGYibkeGEiPI1DgmVjqDUjP6a+P49WZpRBgKPEDcfw4ku8ksqmpl0COmwJR1LuWgcRbSzzwHcSEQkXnXMK+xIJO1NOBH9iVSigddsf7eqYV1QHLQDiLTyIMIJFiHPcKGKrESnOBItFOPG1gSGEkXv0wKLALvbfr6mbV0haTHgYOKY+A3hROwGnG/70oqmTRRJ3yY0Ah8gIsMvAisAm7pDZDtaSJqNSI3/jnCOpycakfaxfUZju445lhVzeE8gmnsGE8LO8xICymc0tusYm5N69KttQJK0aD8p2XbppFsBeNT2/YrRMicpRDr/Xs3YidOqOXncoZm0BlHDNsghSdIRFIf4NeCPxGiho4m7/VUJKQFcNMA67WJh+zhJtwHP2/57cTzPIy7SHeew2b5H0rbAm7bfVGh/LUKk6TqZ04j9+bDt+yR9lnDqOw7bz0s6h4hon2f7aklfBVaWdDYw2vbYTjmWy/fvOSIyvCNxczqK2L9zNrftFJuTumSELamOGiKbTadNbaKhiqHNRxB3zFWjEgrdtNGtnxPZbmWiFmwf25d3l32TiqSpbL9Xit9PBfawfW1tu7qii+NifWLW4kiHJEZHU5oPDiY6/i6qbM44PiiKI2lN4vt3QCfZDV3bXr57xwPftd0xcj9dIamv7TGSViCaUfbsdJuT7icdtqQqinmEJwJ/tn1MWfdf6u6KuaF7Abfbvq5mikDSJ4j07Hq2H2+dbLvYbnaiVunuUgPUsWmNsn8XJmoGj+hEx2dC+0/S14DnbN9Yax+3uv0+zO8u0bXpbf+p9jEhaRAwxqX7dyLH8mBiaPqTti+vbfcHUfbxScR0g469UWpRvn/zEXOGD8+ataQr0mFLqqLQ0foCoe90ue3Ty/ounTYX6Y4JXVi6C8VEhc2Jzq5nJ3KhG5cGrWVz++/tat+W9TMQEwOemhQHZHLQqJ2bi5gO8XpJkU90H9Z2JBQzNkcDb7gD9OomhqQFCUmOR4C+tjf7gO2ncmVZia4i2hNx5Ge1/UJ5XG3EV7t9E7F3GmDGVqlH7WM56TxShy2pRjkhvUUI4j4PjJC0FUTtVMtpKNv2s/2upAElhVrFWVNoT0HUmjwL/F7SXCWd0bdt2z62Xy8nYrrbZknTFRvGSFpe0jclLTSRC9erjgHZuNCN5gIxQ1HSuuX/vw6ho3UMcGwjbdSnsX2/8nM6SQt3t82S5pB0cnm8AiF3sVuxd/Uutu9bfk4vafPutLXNjgWI2qnTCfHbqSQd2Hi9T9v2fUvKfBpFJ3S3oveFZEdLWlvSkZK+pqhlddu5QsXeF1rHRy1nrfxuS1pB0l6SFpnIMTraUY9Z9WYp6VzSYUuqUU5kaxDSAXcSxe8bSRrReL1POfmOljSEKCyfpaLNoyWtC1xDjGy6F7hdoWA/puFA9C1OxxDCqZtzwp/68VN+777E/lyVaCZYBrix7PP27Vv2DpW0e3fa2sZ8wFmStgNWJ+Q6RhEq76c07OzbdlxcSIUmqhIN+ayk3xLNGhsC2xPzQb+vkPMAxqtTGkLIT1SJwEnqTyjq32/7ZNv3E2PI3ms5lG01gk27r6E0pHSjvX2B/5N0uKRZgIOIzutliX08T5vT1qdh7+ElclwNSV8gzhULECPUNtb7kyJa27T28VBgD0WKNEnGxx0gBpfLlLsAuwAjyuOhwLrEGJZtyrpW2n5wWf+FGna22XwUsEvj+Q+Ii+9c5flUDZuvrWEzIXOxb7H1V8AqZf03CO2yLza27duw9wZg1Ur7tU/5+SWiy/Z8QmKkLzCMmKX4m5a9ZdshwHWV9nG/xuPzCWHczzb2/5aE7lpzXw8hnJ4qx3Hj+/TFcmxuWZ6PJNT/LyPm8a4HDO/C7pUr2T03kbq9tbU/CQHfg4nGgk82/yflWP4DlUVyCSftstb/G9gMuATYhCg/aP/+/b71Xc0ll/alugG5TFlL64LReP5tQsm7f3k+IyGLcX3DARoM3AysUNv+Ys8BwKHlcR/C0XyAGIXU+juGEqOSuv2C0bgADCDkAm4sF7bW+s2Bx4C1Gu8ZUi7gVfZxw5H4VPm5CuG0bdJ6HfgUkcL7TFk3iBCfrbGPW/Yu1bD5EuCcxjbTAlvz/gSJgcWJqOWszQvsCXy6PP8S4aD/gnAsFy/7+EiiEWjJst3QcmxU28/lcWvcWHMff5YYi3UqMLCsG1K+e1XPF8SNxleIG6RjG+u/Vs5vm/L+zV3V718uPWOpbkAuU87SuMitBOxERNNmIWpoziwOxqLARZS7++IQ7QosX9nmFcsFbhXCqXwe2KG8tiwhK7FM6z3AIVSIVDXsXZ1Iz01V9vWocvFovb4V74/C6U/MC60avQTWJ2rWWg7ZesATwJcb+3VA4/GXgaUr2rsuEVVbvrHuUmKGZWs/92m89jkqjRgiBKfvJqLBqzXWr0Q4vXu0bT9t4/GPKx/LawG7lsdzEBNDDmvbr/OXx1MTjRQrVdrPLZuHtvZhOY5PYPyo/Oa87xD3J0pCOmpkVi6dt1Q3IJcpayknr7uI+X43AN8H5iHukP9IKO5v0vaegZVtXrvY9XXg1eK0LUbMqzyduOtfu7G9KJG2SvZuSNzVr1WeT0tEMkcR0gzq4j3zVt7HnyfmKS5Yng8t+3EZ4CVidE/7e/p1p41tv3t4sXeB8vzTwOLl8VXAb2vuzzZb5yYiwFu1rW/t6xWItPL2TUetExZimsV9jD+Xd1ZivumxXWzfD5ijss3rE07wzUTDzPzEzdIJtDnGjfdU/f7l0jOWnHSQdAulILgvEZVYE1gOmA441faLwHalE6yv7RebnVIuGlEVbO5LODs7Eo7mYkRE5THbT5di4v6EbtJDrffZNtH52u2UouURxH5+XiGEuyhR9Lwz4RhdR0QpxkkH2H68hr0NpiciQMMUwrJrEYXl2xHRwLfa3+CJCBZ3A/8g5ml+U9IYYGnAks6xvWbZ753CosDVts9srZC0J7BZ6XA9lYiiHQhcDrzR2K6m3uE0xI3G/rb/IGktYhbvNcDywL2STgAe8fvj00YTI7S6085xUiMKqZSRhEzRs4Ro9jbAD4kbkDVKk8RTZfu+tsd0wPcv6QGkw5Z0F8NsP1EubscCcwFfLc7ZusSIpJtaF4daF4k2Bth+TdKTRJHwBkSU4mnFyJvHHUPcX6xpZBtjiXqY/YiaqXcI520e4qIxm4s2FVTVWZNtl67aMUTUdXWifuoIYH8ikrmQ7Sua76ls72AisvcvSVcQjQUnEcf0GkRzBLbvqGFnk8b+6gfMW/b1WCKtuCwxdmoJ4N+2fyPpL7Zfan5Gze+h7Xck3QhsIWkHIj0OsJnt3SQNs/12Y/tut7XcZB4laYTtd4h9/RxxU/e6pO2JSNtjwFnAjW3fv2pakknPI2U9ksmOpOmBUZKWJTqmlgBOdkwJ+AKRNnivQ5w0ipTIMOBP5QL9CtFtuZXth0r0ZD/i4leVViRS0gKS5nSM+NqScNR+YXsE4WjOSVzTnqpnbdBwftYn0rSnELbtDSxn+1fAu8Tf8Z/W+zrAWduAkA85V9LWti8ANrJ9JSFHsicRdauOpJmA7Yt8xCOE8z7YIdfxIrC57eOJxo6FSjT5X7XshfGO5cUlLaUYjH4SMdB9X9s7ErI+i5dIclURXwDb/yRkRuZSzLN9jIiuf07SdLb/Q6RCZfvtprOWJJNM7ZxsLr1/IVKfBwFblOffJup/TgHuB9apbWPD1maR+NHEhQ2iKeIOIkp1D7B+bVsbdq5fbDuDiE7N33htA6L+br3adrbZvDaRAp2/2H4n79dULU/ULXWMzUT07G5gNuBQ4qK8R3ltUaJubcPy/L9qBCvYuyGR6vxWef7TchwMbWyzLCGT0TGdiUQq/EHC+X0WWKK1Twmdu/s66XzRsPsHwN8IjbpNgd8B+xA6go/SaPTIJZePuuRoqmSyoZjn95ztN4t46+nAmrYflDSckOt40/bfqhraQKGc3hoN81VgXdtbluebEVGI12zfWjNF10LSUsTFeD2i1m5zQkfrHMLB+C1RJ3hJJ9gL41T0jyA01eYAvgs8RHQsbkTogQ22fV8H2bweEZmahZhp+2PCQT6amL86yPbzte1tCLD2JZy21Yg5vadIOg5YBHicSC9uDexm+7Ja9jaRtBBxTGxCOMHHEw7Q6rZvlrQf8bdc2QH7uRV1XZIQIH5TMSlideK7uAgxcm9e4Fzb19ayNek9pMOWTBZKKvFQ4i5+BHF3vxnR4XW0o96jYyhOxGCiluos4MrilF1MXCQOqmnfhFDMrgSYiYj+fY+IYI4m5FIecNQCdcoFbj7bj5aC8hkJx/LLjlrGh4kU3Yau1GjShb2fB/5JpLr6EyLEJ9q+vhS8r0lEqJ6raC4A5SZoO6Io/8byf1+LiFrdZ/skScsTUU0BD9v+YyfUBpbH0xAdrbMAP7W9uKQDiOj8ksT3sGMuWGXfnkjU1N1S1h0MrExkE55RF7NPk+Sjkk0HycdG4yL3CaLu67tEHdJ2hMaaiLqvjjmBNS4Y09h+RdLKRJRqR0nfJkY6rSNpetuvVTQVGG8fr0A0bpxD7NcfEHU+15fX5gXebjnGtS90xea1iQLtTWw/IOk1Iu21qKR5iOLsU2s7azDO3i8RF+QtiCLytyQ9AqwsaRDhJH+1E5y1wqzAHkSK/DxJ8xJNHM8AMyrGff3K9h+bb6rtrCmajpYGDrb9SPkOXlk2+xMhKDtD7WO4iWIW69FEDeOfy75+j7hJEnBR+R6+W9HMpJeREbbkY6Xcde5JdEo9SXTPvUFE2o4APkNEJKp30bWQtCYhzvsc8Dfbo8r6UYTg6BcJNfsnJvQZ3Umx92fAtrZvLOsOJYRk9yBEfEfYvrWeleMjaRHC+d2pFdUhJFN2JjTMVgW2dxTwV0cxs/IiYD/bNzSci40Ibbh1gO/bvqSmne0UJ+EywsZNCD27jQjHeF7CsT+NophTy84WxSn+MbGfryzrvkZEBZ8g9Ms2s/2XTokSl8dzE+e524n07UqEw3aA7d9LWsD2w7VsTXon6bAlHxvlrvMqIqo2iOgG/QxRJ/OCogV+OttP1rNyfBQdn2cCewMvE3plNzo60lon5mltP1DPyqA4OYOIWsDjiyPR1ID6IdGteHYHOhILE07kriX1NcYxuH02IuI6s+376lr5PorO5pOArUtqcUCJsA0tkdgZbf+zthPRFeWm6Qii4/Z1SSsRTsUOwO62r69qYANJPyHkfC6SNJXt90r0cmNiDudtti+ta+V40cDVil0nExG2IcRIsksJKZq3bB9azdCkV5Mp0eR/onEim5eoPbmhEUG5l5hhuSjwgqMF/p/N91W2eSZCA+zy1kWhFBHfJGkt21fafrr9fTVshnGpq9ckvUqkuPoQ9rcaPPYHpu6EmrUumAbYSNKZtu8GkLQK0Rl6IjHNoJN4nWiIOIK44XhLIUGzg6QRFAmMDtvHALgU5QP3SFrK9h+AP0g6vhz3HXFsFBvnIgr0L6Icy8AsHl/kt7q9Zb9tQIyc29fR2PGdRsRtMSIV/Z16Via9ndRhSz4yDcdnJUJP611gJUmbO/g7oQc2d/t7azs+ktYgCsgXBVaTNKC89hbwe7qYVFD7oqGgH1GTtBAwa/lblgB+AszVKTVr7dj+E1E8foGkr0r6MpHWfbaqYV0gqU/ZfxsBn5d0rqRdiG7c39p+o9P2bzsOseGdgAcVmmXjjolOsb3YcRSwiqSvO6YVLAdcKWnRtu2qUiKuWxNO2bWK5o2DFJqNSxClHwfYvqGimUkvJ1Oiyf9EiUhtCdxs+3xJ6xD1YDcQReQnEFpQt1Q0czwU3XRHAofYvkvSScSorG8SMgJHAdvZvq2imRNE0hyEje8RTRxLAiNtX1TTrg+DpK8TkxfeBc5zRYmGif3e4rSNlTSQqFV6mei4vb4TIj4flvJ9fMP272vb0hUK+ZEvEQ7PzUTzwd62L69qWBuSpiZSn28QN3MvE7IddxIzWOe1/VhPOjaSnkc6bMlHohFdO4hw2I4mOupEOBD7EzP9rrB9cTVDG5QUTH+iXu1rxPDon5fXfkikdOcCftYpF4z2C0DDkZiBaIiYFXi6OJ4dcbGQNI0nIttS/g+tSGctZ20AMLdjcsWiwEtuU6FX0TRrWzfO9u6z9n+nU46NCSFpVqIezOV/0hENBoomjkFEKcd9hPN+te3bFbpxBxJ1jlVmBydTFumwJZNE40Q2m+3ny7odia65/Yguy7Hlztl+fyhzJ5x8BzoELqcmTrwzEnpr15bt+hLyHm/WtrnYsyah+n9Am9NW3bZ2Gvt4ODFd4ZftDlBj2/9yhLqT4nTNTugDDiCU6dfwBLr6atvbk2kcFwsQMjNPd7FNH8fIrImu624UYskHEQ0GuxLfwwvKaxuX1/bvlBvSpPeTNWzJJFFOvmsTdRy/LOnE04DriRPYYuVkO6Z1wq3tXBSbNyBqY64kUp8/B14F1iiOEcXmN1vvqWUvjOuq/B5wfrstreelnq35HnWfhePTqAs8iuhG3FzSnO3b6X0l/oGSPtfddioaTfYBXiAmF3yHmLk6UWdN0iBJX27f58nEKcfF+sDZwAzN1xrRytYNHpL6doizNpA4T6xFNKC8CvxRUj9JUxH1jSNtX1zze5dMWaTDlkwSpcC2Vad2OHEyu4goyL6PcNqmrWRel5S7+28THauHALsRUxcOJ+rA1igpxo5AIXWxG7EfHy/r1LZNX4csxhBJhynkPWpGMZcgRgkdTIxq+iTwtZLqam3Tcn6GEMKoNURF5weGESn7u4BvAbNL2kwhO9OqV2q392rgKadq/SQhaXHiO7eZ7XskzSzp0zDejUdrPw8lunIHVbK1NXz+08CniDTo1kQkdpsSMV4LmKc875hxb8mUQd4tJh+Kcgc8iIik/dX2TmXd94gI23q295c03PbrNW1tIml+wr4nbf9fWbc2cCMxxP1EoL/tl6sZyfhpTsdMyguAmYGtJf3a9quN9FLTkbiAUIiv7UgsANxh+y7grhJV2RdA0q9sv9iw+TwildTtumu2bynX5U2IObH7S/oXIdD6RnHWlpM00vYbxd7fAt+zfWd329sTaXNixhLfs2VLGnF1YKykExzaa61jeTBxLP/A9r9r2F2+W+sRDuZ6RDf2AYTQ98OKztDDiLFTo1vvqWFrMmWSEbZkojTSFmNsvwqsDSwuaZuybgyhofXJst1D1YwtNKNRth8hoiPzSVq81LE9QYjlDrX9rO1Ha9kK49X5rCPpIEmHEdIivyAiQptKGlK2UZvjc5DLtIPutrn87FtW/YnQhlsDwCHc+xCwMLBY2XYI8DvghzVsLjbM5+hY/jUwWDH78QrgfGANIvJ2c3HWpiP28SG2b6phb0+kHKfLKXT2ngH+Rky0eIxIQV8KTFW2bR3LF1JZFkOhpfYD4Ou2nyXGvp0LHCdpb0JIeV/b99SyMZmyyQhbMlHKyXcVovX+L0Qqa0Xg1lJndRUh07BbPSvHp9i8MjHy6GliCP07REfX1ZKeIFId11QycTwa9V8HE3UzvwMG2d5ZUn8iKtFP0knlAjcNcTE5tJYjUWxejYicPGr7HEn/B6yqEFG+GxgO3AF8nXCa1wb2sX17DZsVnaEHS3rT9vbF59yGiAQeScg2zNxolpgH2Mv2X2rY28P5LLA7sJXtoyQdZ/tthQzQCGAXgFIP9kvixuPmeuYCcY64h5gVuwmwCqET+G/i3LdDidBmGjSpQnaJJhOlpAGOI+6KhxE1X0cA0wE3lWU728+oA7r/iiPxOcKhuYroBG2NutmZ0Ey6FrjYjRmRHWDz4UQ0Z2ZgJLC5ywgvxfzKh1spxFJrNdBddNx1g72tFNbyRKr5NKLjdn/CKVuGkHmZmkiXz0DU+2zZ3bYWe5vzH0WkbvcFXre9S4mq7Ai8QqRp32t/X/LhkTSz7X+UxyOIGsHdHfM1lyZKEA52Y3SapFk9gY7i7qREVLcm6luPAh4kbk5ft312RdOSBEiHLZkIpf7r18Dhti+U9EkibTS/7b0UquQXAd+1/etOuMhJWpVwII62fZ2iq+8nQN8SsTqEiLztBzzq+t1o89p+XNIBxBzQ2YEdbT8iaXPCMTulpo0wTifrpeKsDSecnqtt/0ahY3YGcLrt4xUjs/oDKxM1P9+oGaVSjJQaZPvy4rTNSzTH/N32PoqGiTfdAfNiezKShhFRtVtsn1vWjSD29RZElGqI7UfL/6FPzRu8CSFpatvvSlqKKEvYzR00fzWZcskatmRiTEscI98CKLVftwJLKnTYbiHSXT8qRcOdwFhgTcJZADBwChERxPYBhJzDfpQ6mhooGABcXiJoFxFjb04vztrSwPcpXaI1KYX42xAOJUSkdU5gdUmz2L4X2ArYVdK+xQl+i0iLfa2Gs9asYySmV5whac1yQ/EUkf7cSNLRtu9OZ+2j0bafXwWeI8Z5bVxu4E4C/kzpyG7VizroOGetMKY48ccB+6WzlnQKGWFLxtFIz80IvGP79RJlOwT4V4lQLUCk7jYmOi/HShrgmMFZ0+bpgTGlWHx1otZuC9vnlnq244A1SzHxeKmbmii60jawvZ2krxDp0HuI+q8fuQylr0m5KA8AhgJ7Ad8lUkWbEgXlv7X9kqRFiAhK1VqkxjGxKjHN4AxJmwI/BnZyjMNaiegEPNfZ/fk/USKYMxCyJ3+WtCvRhHQP8Aihy3eS7VvrWTlpSJqWqGd8ohMyB0kC6bAlbUhal3AaHgOeKSmjBYko1czECXhUSTe2LoxVZ0EqRHG3IppoflpsW52oYbuaiKhc7RC5rK5aX2rs7iXGeA0mhqAfZvuvkuYj5hUOdAfMJmyrAVuYODaeJcZ7fYloJHgC+LXtl2rZ2Y5CDPlnwLYuHanl2D4CuI6Q8djcReolmTQa371lCDmOS4G5gQttnyZpK6J8YklgT9uXVTQ3SXoF6bAl41B0g44iVLw3IGq/TrW9Q4m07QVge4eyffU7T0V35aFEtGQUsDjRcXa2pBWJC8lBtkcpJCjG1rK5cZG7CBhNOG0/J/b3psA6tSKVXdGwd1bgLdv/VnSAjiTSX3sQIsrrEg7nU/WsDUr93GCi0/ZgR2PJ6sBniLSzCKmU123/sZqhvYDy/VoTuMr2TeX5SCLiekrZZi5HQ1L1c0WS9HSyhi1pYuAbxFDxjcvP9RVyEo8QEYuhkn4EHSMaOT8hEbA0Mbj9eOAQSds5JC82BI6WtLFDN65KJLA8nFNSf9sbEoXYo4EbCDmBTxB/Q8dQnLX1CE24UyUdYftx4EdE5+3xwOXEiJ7qzhrEmCPbrxAp8ZGSziY6/+Yn6hafsH1VOmsfncbx/EXiuzdTeX4boWP2DYVuGUQ0tlPOFUnSo8kIWzIOhSaSiM6oCxydoYcRGmufJVJfCxL1bM/Xs3R8SsPDmYTG14OSLiG6FLe2/VypYXveFUV9Ja1FpOMeJlLLG5e6r3UIYdndiVq2jnEkSlT1AEK64yliH/+11DLOR0h5/Lh2wX4jErgU4Zj9mWgyWQT4m+07Sz3brkQTxNsVze2xNPbzTK30t6TdiXKE9W0/Xc4hnycGvWdtYJJ8jKTDlvwXJYL2CiE6+2XgwNoX5Q9C0hmEU3Etof/1I9u3dUjN2rxEo8auDuHNUcDywKouY7wkTW/7tYpmjqOkFWcnbH4G+GZp5piRGNP0mO1tazabtFMigYcR9VRrE7IuvymvrQocQ+isXTLhT0k+iFIb+F3gH0Sd62GEI/wVYFNHJ3mSJJOBTIkmXXE3MAuhZ3ZOy1lra+HvNoqjMKHXWjadTaRETwZOtn0bxOibyW/hB/IaIcL5MIDt7xBjm0a2NugEZ621L0ta8VngBGAOYAWFNtU/iQvzwpIW7iBnbSGiAWJV4A+EaG9rbuwwQrF+pMuw7lp29nRK08lxRNrzbEJC5xTbRxBp84sUkzmSJJkMZIRtCkLSQGB4ab1fkCjAf3gC2/YBprP9Ws2C4WLH9URqa5eJbNdS4J/T9rOVbW6ljvoT9WnTErMqz7R9TtlmS2AO2z+uYeOEUIybWhG4pkQDv0ZMhzgc+L1DUHQql4kAFe1s7ePliBmPNxJp8E8TsyCflPQl4FEiHf5mFr5POs0ItaTFge1t79iIwv4QOK00HSzU6ZH4JOnJZIRtymImYDNJpxMyHRO76KoV9al5kXOIsG5OiHEeNpFNx5btny3Pq0VSiiOxPtGhejgxAH1vYF/FcPfdy/OOmFHZijop5jweRcgzfEvSnoSj+XNCi2/V4vRUddZg3D5ehoj27E00byxBpD2flLQsEQ2awfabrfdUM7iHIWkQjBvOvqKkLYg61q9IWrsRhX2LqGuFiBonSTKZSIdtCkDScEmblE6+l4CvAn9u1ZuUu+Xm9q1o1eBSLF+NYstzxBSAtSRNKCLVp2w/SNLcrjhyqhTkbw+cRejWHUZ0VW5A1AbORsxXvLJmik4hNtxyfpYg6rxG2P4m4ajNTjRDXAgcC7zSYU7PYGKixaeAK4BbgO3KDclpxD7OwvdJpETiL5e0SYnEn0zIdyxC1LUeIGmEpBWA5QjxZGp+55JkSiBTolMA5aQ7C3A7MIRoJFgeuMP2MWWb6Wz/p+GsDSEu1N93BYXyRsprRqCf7RcUemBXEOm6fRrbjnMwiUjLDrbv6m6biy1LEim682wfXi5+awHfBo7tlKJ3hZL7OUSK64XisF0H/NL2bmWbtQl9u6dtTyy6WQ1JGxLdtzsTDSdLErWMT5TUf6ZBPwKKcWn7ECLOI0t6fF7ixmk5ymQD4FLbF1UzNEmmIPrVNiCZvBRn5kFJreja3raPk/QwsKOk/xCRiU0lHWP71eKsnU90h9Z01jYkdJ7GSPqd7RNLl9plkkbZ/o6kPg1n7UKiE7OWs7YKIdnxFLCJpJ+V2qnLibmle0m6E3ixdjSidH2uDwyXtKzt35War59L2sv2kbavUIgNP1rT1olh+yJJo4mxUzPaPhu4s/F6OmsfgXI8vE503a5KnCOeIWbbzknIo4yFzhDQTpIpAtu59NKF9yOos5SfSxHt+DuU56sS45ueAtYq66YjBDBXrGz7asSFd0aiDuxFwtmEiBb+lWiggEiN3QGsUNHeBQl1/fnL8/MIUdmB5Xn/1v+hUxZCs+x24GXgq41j5BaiFqy6jZPwt2wA3E+kcfvUtqe3LMQUjkeJRg6Alcr3cubW+SWXXHLpniVTor2URpRqPeD7xNzEx0rq61pCZPZkSQOIAdkPlXqqxYgh6n+taHsfYAVgDJF62Rc4kkh9XeCYbzquU1HS0sBUriQ6K2kWQqz1D4RY7ztl/dmEA7GWO0cCozkbdDGiNuk/hLbWQbZ/KenzwInAJkRqsUecJNQQdE0+Pso55EzgJuBtYm7spXWtSpIpj2w66KUUZ20lYs7mzsVZG2L7bqJ+7ThJ37H9lssEgHJhvqeys9ZS0L+7LJsC+9r+HTFuaAXFfMKWs9bH9h0VnbXZbb9IFOcvQ6i8A2B7M+BfRLF2R1COi2UkjbB9DxEp+Scxwuv7krZ1aNitbPvxnuKsAaSzNnkoztl2RHPHKNuX1myWSZIplaxh693MCJwBDJS0PbCtpJuIcUOtwuHxqHGBbquBGUgUjX/CMermRWCb0tE4HNjL9jMNe2t2g84G/EjSrSVaORVwmqStWg6k7U1q2dcVxcatgC0kvQbcDPyUSH1tBZwn6UqgY0aPJfVxjKn7ve2Xy/Me48gnSW8hI2y9iIaelkpa8UngM4S2loGfUGYs2r7L9jWdcKdcoj5LStoHuJew+9jy8hlEBOhA4DhXaIJo0pRAccxTvQlYUtLWtn9NDHW/QNKKlUycIJLmIrqEjyI0s9YlBtA/RxTt3w18xvZzeUFO2mk5a0mS1CEjbL2I4visS7Tez0w4OfsD/7b9b0kLEPVspzffU8XYBsUJ2gLYkaj5OpIQad3Z9nHAnpI+YftftTrSWjVztsdKWh5YyPaptk+X9A6wWjHtzNJZ2be7bZwYpVZxBBG9PAXYFtiScNwuJOZBDrP9SDUjkyRJkgmSTQe9CIXy+ynAbkQ91arAT21fJmkdQsB1f9sXVzRzPCTNQ6ilvwyMIkYLXUKkbOchmiUerSkdIKkfITb8ODFq6qRi84W2R5Vt9gO+CRxq+/SyrqPkDor0yVLEjNDfAUOBY2w/oBAbfrqqgUmSJMkEyQhb7+LTwB9t3wDcIOkJ4FhJdwEvANvYvrsTHImSih1IDJgHuI9whJYgJDteIBTWB0D18VijJd1HND28Q0hI9ANGll15bHltBUISpfW+jnHWAGz/G7iuRGF3JP6OxYClgb9XNC1JkiT5ADLC1oNpd7wkrUwUjh8A/L2k704FTrD9pzpWjk9DbmR6x2D5qYkuyv2JJomngZNs3yhpcHEyqqOYDHANkWoeYfv/JH2RqFl7Glgc2Mn2tfWs/PAoJjAsDAywfWNte5IkSZKJkw5bD0fSGoTDMxo4F/gZMVT8buB14JfARrbvrWZkoU0b7juE5MUNtk8sr/8Y2JiIXi0CvGf7vU6ICMK4OrDFCY2yH9g+v0inrAJc7h46t7JT9m+SJEkyYdJh68FIWpYYMH4EMWz8EkIUdx1ifMwchG7SZdWMbKNEpY4kHLOtgJGE83Ngef3zwNtFI6wjKSnFY4nxXUsRQ8aradclSZIkvZ902HookhYl5mzeVTTA+gOnAv+w/d2yzUy2X6odQWlE1mYiImcvE92KexLp2yuAw23/oJaNk0pxlrcFzrd9dW17kiRJkt5N6rD1XBYkapCWkTSH7beJKNtyRW8LQr+savF7mUTgElk7hZCReIKw9UelfuocYH9Jw5o6Z51M0YP7lu2rO0HLLkmSJOnd9IiLYzKeKO6CRWH/cmIc0kBCA2weYnTMdMB7UN1R619sGCtpIUJq5BDbzwFvAI8B85R6tr7A4rafrDm5YFKxPbr8zDB1kiRJMllJh62HUKJUawHnEdGpPwMPEHpaXyEmAhxKzN18oZadME7v63RJq5dVWwPzAXMD2B4DPAgsChwOXGL7b+W9Ga1KkiRJkjZSh62DkTQzsDpwMTA9cDAx83EZIorW1/Z5kl4FdgCudQxqrk1f4BZgF0kvEE0RAMtKet727Y26ux826+wyWpUkSZIk/01G2DqUEmlaA1gN2AToT4yUWoKQxNjQ9qulNuxa4DfAmpK+UkYjVaPMHPwr0VxwFDBL+TkWWK+MdsL227ZfKo/TUUuSJEmSCZBdoh2OpD2IdOKDxLzHqYB5i/r+54mh3VvbflLSJsCtpU6sGmUM1lHAmcDniLq6/YDngX2Ad4HDOkUUN0mSJEk6nXTYOhhJXyIcnT7E6KCniXqwI4C3CVmJgzppNiiApKOAm2xfLGkOQnPti8DewCvAYNsP1bQxSZIkSXoS6bB1KKV+7UJgB9v3S9qZGN0kYjzSI8C9tq9tFerXSCt29bvLOKx+trcuz1sDx18GNrH9n+62M0mSJEl6MlnD1rm8RzSFzFienwTMTgwYv9P20a25lbWK9SVN3frdkj4n6Qvlpf2BAZL2L8/fIzpav5POWpIkSZJMOumwdSi2XyEkPFaWtIjt94ALiPmgt1Q1DpA0FDhV0uySliTEb4+UNIqouTsCWEPS5YT0yAW2H6hmcJIkSZL0YDIl2sFImhP4FrA0cCfwZWAn29dVNQwo4r27AMOJSODuwHOE9MgY4LeEVtyniOPskdojspIkSZKkp5IOW4cjaRCwLDGD827bf6hszzS23ymPFy62/QhYz/YdxZHbldCNO8t29WhgkiRJkvR00mFLPjRF3+0rRATtUeAbwM+AbwPzE1MW7pc0OxFxO832g7XsTZIkSZLeQjpsyYdC0vS2XysyHbcQM0xXtP1gGTa/OSHqe4jte0tDwrs1bU6SJEmS3kI2HSQfiKRpgbOKs/Ya0fH5EvAFANvPAL8A/gIcKmk6YHQlc5MkSZKk15ERtuRDUfTWhgOz2b5B0nzEOKzzbR9Rns8NPGr76Zq2JkmSJElvIx225EMhaX7gbKLr89u2z5G0NBFZux1YmOhgvauimUmSJEnSK+lX24Ckc2mT4ZiW93XgDi01ar+UtB7RdLBfOmtJkiRJMnnICFsyUSQtAyxm+yRJRwN3APcD5wNH2T6l5dilzlqSJEmSTB7SYUsmiKSpgGOBLYARwDvAT4GNgL7EJIZlgefSUUuSJEmSyUc6bEmXFKmOt4FBwLnAw+XnSCItuiYwre1Xa9mYJEmSJFMKKeuR/BeSBhARtaOIgfPbEmOnHgIuBBYChqWzliRJkiTdQ0bYki6RNBhYCjiBGN4+FDjG9gOS5k7pjiRJkiTpPtJhSyaKpAWAHYHNgKdsLy2pr+0xlU1LkiRJkimGdNiSD0TSQEJnbYDtG2vbkyRJkiRTGumwJZNESnckSZIkSfeTDluSJEmSJEmHk12iSZIkSZIkHU46bEmSJEmSJB1OOmxJkiRJkiQdTjpsSZIkSZIkHU46bEmS9HokfVPSI5LelfTqx/zZwyQdJGnej/NzkyRJmqTDliRJr0bS7MDJwC3AqsDqH/OvGAYcCKTDliTJZKNfbQOSJEkmM/MDfYEzbd9c25gPi6RpbL9T244kSTqDjLAlSdJrkXQG8Pvy9HpJLuuQtIOkv0h6W9I/JZ0maYa29+8s6VZJL0t6VdJtktZpvL4ycEN5em35fJf1lMcHtX3msLJ+66adkp6VtKykWyS9BRxRXptJ0s8l/V3SO5IelLRD22fOKulMSc+VbZ6XdJmkmf+X/ZckSeeQEbYkSXozPwDuBn4K7AT8CXhJ0o+BPcr6vYA5gB8Ci0harjErdxhwKvAkcb5cD7hM0lq2ryqftxNwPLArcGd53/0fwdbBwDnAUcB+wFuSpgduBgYABwFPAF8CTiwRuJ+V9/4KmKf8Lc8AswCrAQM/gh1JknQg6bAlSdJrsf2YpAfK0/tt3yZpGOHYHGz7kNa2kh4mnKP1gIvK+/dsvN4HuB5YANgRuMr2a5JaztkDtm/7H8ydDtjC9sWN37k/4YgtavuRsvo6SUOAAyWdaHs0sCywn+2zGp93/v9gS5IkHUamRJMkmdJYgzj3nSWpX2sBbgdeB77Q2lDSEiW1+CIwGnivvH/4ZLDrPeCytnVrFrueaLP1auATwKfLdncCe0naTdKikjQZ7EuSpCLpsCVJMqXRqut6lHCSmssgwhFC0lxERG0GYBdgOWAp4Cqg/2Sw66VGKrZp6xe6sLMVPftE+flV4BJgb+CvwN8lHVCigkmS9AIyJZokyZTGv8rPLwKvTOT1NYm6sk1tP9t6UdKk1IW9A0zdtu4TXW0IeAK2/APYbQLveQjA9j+IWrqdJA0HtgIOBl4CTpwEe5Mk6VDSYUuSZErjWmAsMLftayeyXcsxe6+1QtICwPLAs43tWtIbA7r4jKeARdrWrdPFdhPiKiK693Rxyj4Q2w8B+0n6Vhe/O0mSHko6bEmSTFGURoTDgeNKNOoPwNvAXER92qm2bwCuI+rWfinpJ8BsRNTqacYvJ3m4bPdNSS8TDtxDtl8nuj5HSvo+cBuwIvD1STD3GCLdeZOkY4iI2rTAgsCKtjeQNLjYehbwIOFgbgAMBa6ZpJ2TJEnHkg5bkiRTHLb3K92jO5XFhBzG9cAjZZv7JG0OHELUhz0G7EOkSldufNa/JO0MfI9w/voCqxD6b4cBQ4Cdy3uvALYkGgk+jJ3/lrQccED5/DmAVwnH7YKy2duEvMj2REfp2PL65s2O0yRJejayuyqbSJIkSZIkSTqF7CBKkiRJkiTpcNJhS5IkSZIk6XDSYUuSJEmSJOlw0mFLkiRJkiTpcNJhS5IkSZIk6XDSYUuSJEmSJOlw0mFLkiRJkiTpcNJhS5IkSZIk6XDSYUuSJEmSJOlw/h+TKYHeh6J3cQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 576x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Correlation matrix completely ignores any non-numeric column.\n",
    "fig, ax = plt.subplots(figsize=(8, 8))\n",
    "\n",
    "matrix = np.triu(churn.corr(\"spearman\"))\n",
    "sns.set(font_scale=0.7)\n",
    "sns.heatmap(\n",
    "    churn.corr(method=\"spearman\"),\n",
    "    linewidth=0.1,\n",
    "    annot=True,\n",
    "    cmap=\"inferno\",\n",
    "    cbar_kws={\"label\": \"correlation\"},\n",
    "    mask=matrix,\n",
    ")\n",
    "plt.xlabel(\"features\", size=16)\n",
    "plt.xticks(rotation=45, ha=\"right\")\n",
    "plt.ylabel(\"features\", size=16)\n",
    "plt.title(\"Correlation matrix\", size=18)\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The strongest correlations occur between the features:\n",
    "* `winning_cash_sum` and `turnover_cash_sum` (positive correlation)\n",
    "* `NRG_sum` and `result_cash_sum` (negative correlation)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Summary\n",
    "We can summarize what we have so far:\n",
    "\n",
    "|||\n",
    "|-----------------------------------|---------------------------------------------------------|\n",
    "|data set dimensions                | ${117398 \\times 12}$                                    |\n",
    "|number of different customers      | ${10644}$                                               |\n",
    "|${4}$ gambling modalities          | ${71\\%}$ `cassino_classic`                              |\n",
    "|                                   | ${16\\%}$ `sports`                                       |\n",
    "|                                   | ${10\\%}$ `cassino_live`                                 |\n",
    "|                                   | ${3\\%}$ `mixture`                                       |\n",
    "|gender distribution                | ${71\\%}$ male                                           |\n",
    "|                                   | ${29\\%}$ female                                         |\n",
    "|numerical features                 | ${8}$                                                   |\n",
    "|categorical features               | ${4}$                                                   | \n",
    "|missing values                     |`gender`:     ${471}$ (less than ${1\\%}$ of the dataset) |\n",
    "|                                   |`vertical`:   ${4091}$ (less than ${3\\%}$ of the dataset)|\n",
    "|Strongest correlations between     |`winning_cash_sum` and `turnover_cash_sum` (positive)    |\n",
    "|                                   |`NRG_sum` and `result_cash_sum` (negative)               |\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Save dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save daframe to file\n",
    "churn.to_csv(\"../data/df_from_eda.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating HTML reports with `sweetviz`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A faster way to perform an EDA with a few lines of code is using the library `sweetviz` that takes pandas dataframes and creates an HTML report that can be viewed by itself in a browser or integrated into notebooks.\n",
    "\n",
    "The code below will generate a HTML report. It is recommended to open it on the browser instead of Jupyter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "076ec7433b5e48548731e5c83177f0b5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "                                             |          | [  0%]   00:00 -> (? left)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Report ../reports/eda_report.html was generated.\n"
     ]
    }
   ],
   "source": [
    "# analyzing the dataset using sweetviz\n",
    "eda_report = sv.analyze(churn)\n",
    "\n",
    "# to automaticaly display the report on your browser set open_browser=True\n",
    "eda_report.show_html(\"../reports/eda_report.html\", scale=0.8, open_browser=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b9ce34e0209c470f8b3d4556eaf5bec1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "                                             |          | [  0%]   00:00 -> (? left)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Report ../reports/gender_report.html was generated.\n"
     ]
    }
   ],
   "source": [
    "# compare by gender\n",
    "gender_report = sv.compare_intra(churn, churn[\"gender\"] == \"male\", [\"Male\", \"Female\"])\n",
    "\n",
    "# to automaticaly display the report on your browser set open_browser=True\n",
    "gender_report.show_html(\"../reports/gender_report.html\", scale=0.8, open_browser=False)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
